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Faculty

Data Sciences and Operations

Full-time

Mohammed Alyakoob

Room / Office
303F
Assistant Professor of Data Sciences and Operations
Mohammed Alyakoob is an Assistant Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. His research examines the economic and societal impact of digital marketplaces, with a focus on examining and measuring the role of traditional barriers, related to market structure, race, and expertise, among others, on limiting the equality of benefits derived from these platforms. His research has been covered by various media outlets including the Washington Post, Chicago Tribune, and LA Times. At the Marshall School of Business, he teaches graduate courses in the MBA and MSBA programs.

Arif Ansari

Building
BRI
Room / Office
401R
Professor of Clinical Data Sciences and Operations

PhD, MS, University of Southern California; MTech, IIT- Madras; BEng, Anna University

Arif Ansari is an expert in the area of data mining, business intelligence, data warehousing, and intelligent systems and technologies, a field in which he has fifteen years of research experience. He has published in IEEE Transactions on Systems and Man and Cybernetics. Professor Ansari received Marshall's Golden Apple Award in 2006.

Murat Bayiz

Building
BRI
Room / Office
307D
Academic Director for the Full Time MBA and Professor of Clinical Data Sciences and Operations

PhD, UCLA Anderson School of Management; MS & BS, Industrial Engineering, Bilkent University

Murat Bayiz is a Professor of Clinical Data Sciences and Operations at Marshall School of Business. He has more than two decades of combined management consulting and academic experience and specializes in operations strategy.

Murat teaches core and elective at Marshall School’s undergraduate, MS in GSCM, and MBA programs. In recent years he received six Golden Apple awards for teaching excellence and the Evan Thompson award for teaching and learning innovation.

Prior to joining USC, Murat was a management consultant at PRTM Management Consultants (later acquired by PwC) and Kiran Analytics and consulted with high tech companies on supply chain strategy projects.

Jacob Bien

Building
BRI
Room / Office
307H
Associate Professor of Data Sciences and Operations & Dean’s Associate Professor in Business Administration

PhD, Statistics, Stanford (advisor: Robert Tibshirani); BS, Physics, Stanford

Jacob Bien's research focuses on statistical machine learning and in particular the development of novel methods that balance flexibility and interpretability for analyzing complex data. He combines ideas from convex optimization and statistics to develop methods that are of direct use to scientists and others with large datasets. His work has been supported by an NSF CAREER award, a three-year NSF grant on high-dimensional covariance estimation, an NIH R01 grant on methods for multi-view data, and a grant from the Simons Foundation on developing new statistical methodology for oceanography. He serves as an associate editor of Biometrika and the Journal of Computational and Graphical Statistics, and he was previously an associate editor for Biostatistics. Before joining USC, he was an assistant professor at Cornell.

Feng Chen

Building
BRI
Room / Office
400G
Assistant Professor of Clinical Data Sciences & Operations
Feng Chen is an operations management scholar. Her research interests include process analysis, supply chain management and supply chain analytics, and experimental study of behavioral impact on operations decision making. She teaches courses of operations management and data analysis for decision making. Feng received her Ph.D. in business administration from University of Southern California.

Sriram Dasu

Building
BRI
Room / Office
401U
Professor of Data Sciences and Operations

PhD, MIT; MBA, Indian Institute of Management - Calcutta; BTech, Indian Institute of Technology - Bombay

Sriram Dasu's research has been published Queuing Systems, Operations Research, and Management Science. He has served as associate editor of Management Science and senior editor of Manufacturing and Service Operations. His research interest are healthcare operations, global health, service operations with focus on customer psychology, and supply chain management.

Andrew Daw

Assistant Professor of Data Sciences and Operations

PhD, MS, Cornell University; BS, University of Florida

Andrew Daw is an Assistant Professor of Data Sciences and Operations in the Marshall School of Business at the University of Southern California. He studies the interactions within operations, and his research interests include service systems, stochastic models, and contagion processes. Prior to joining USC, he completed his PhD in the School of Operations Research and Information Engineering at Cornell University.




Kimon Drakopoulos

Building
BRI
Room / Office
401E
Robert R. Dockson Assistant Professor in Business Administration & Assistant Professor of Data Sciences and Operations

Ph.D., MIT

Kimon Drakopoulos the Robert R. Dockson Assistant Professor in Business Administration at the Data Sciences and Operations department at USC
Marshall School of Business. His research focuses on the operations of complex networked systems,
social networks, stochastic modeling, game theory and information economics. In 2020 he served as the Chief Data Scientist of the Greek National COVID-19 Scientific taskforce and a Data Science and Operations Advisor to the Greek Prime Minister. He has been awarded the Wagner Prize for Excellence in Applied Analytics and the Pierskalla Award for contributions to Healthcare Analytics.

Paromita Dubey

Building
BRI
Room / Office
401P
Assistant Professor of Data Sciences and Operations

Paromita finished her PhD in June 2019. Before that she obtained a B.Stat. in 2012 and an M.Stat. in 2014 from the Indian Statistical Institute, Kolkata.

Paromita Dubey is an assistant professor in the DSO department at the USC Marshall School of Business. Her research broadly centers around developing novel statistical methods for nonEuclidean data, examples being distribution and network valued data. She is also working on addressing challenges in the analysis of dynamic time-evolving data, particularly in nonEuclidean and high dimensional settings. Aside from theoretical challenges, she enjoys collaborations involving applications in neuroscience and population genetics.

Omar El Sawy

Building
BRI
Room / Office
401L
Kenneth King Stonier Professor of Business Administration, Professor of Data Sciences and Operations

PhD, Stanford University; MBA, American University in Cairo; BSEE, Cairo University


PhD, Stanford Business School; MBA, American University in Cairo; BSEE, Cairo University. Expertise in digital business strategy in messy environments, business models for digital platforms, real-time management. Director of Research for Marshall's Institute for Communications Technology Management 2001-2007. Inducted Fellow of Association of Information Systems in 2008. 7-time winner of Society for Information Management's Annual Paper Award. Senior Editor of MIS Quarterly and founding Associate Editor of Information Systems Research. UNDP advisor in Egypt, Fulbright scholar in Finland, field projects in Dubai and Denmark. Received 2021 USC Marshall Faculty Mentoring & Leadership Award.

Yingying Fan

Building
BRI
Room / Office
307B
Centennial Chair in Business Administration and Professor of Data Sciences and Operations

PhD, MS, Princeton University; BS, University of Science and Technology of China

Yingying Fan is Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department at USC Marshall, and Professor of Economics at USC. She received her Ph.D. in Operations Research and Financial Engineering from Princeton University in 2007. She was Lecturer in the Department of Statistics at Harvard University and received the Royal Statistical Society Guy Medal in Bronze. Her research interests include statistics, data science, machine learning, economics, big data and business applications, and artificial intelligence and blockchain. Her papers have been published in journals in statistics, economics, computer science, information theory, and biology.

Robertas Gabrys

Building
BRI
Room / Office
401O
Associate Professor of Clinical Data Sciences and Operations

PhD, Utah State University; MS, BS, Vilnius University

Robertas Gabrys has research interest in functional data analysis and its applications in environmental sciences, financial econometrics, and space physics; statistical computing, and actuarial mathematics. His work has been published in the Journal of the Royal Statistical Society, Journal of Multivariate Analysis, Journal of the American Statistical Association, and Austrian Journal of Statistics.

Grace Gu

Building
BRI
Room / Office
307 D
Assistant Professor of Data Sciences and Operations

PhD - Harvard University; M.A. - Tsinghua University

Grace Gu is an Assistant Professor of Data Science and Operations at USC Marshall School of Business. Her research interests lie in the intersection of technological innovation and strategic management, with a focus on technology strategies in the IT industry. One theme of Prof. Gu’s work examines disintermediation in online marketplaces, where customers and service providers circumvent the platform to transact directly. Her other work also studies firm strategic decisions and technological competition, particularly in online digital marketplaces such as the mobile App platforms, Wikipedia, and the video game industry.

Vishal Gupta

Building
BRI
Room / Office
401G
Associate Professor of Data Science & Operations

PhD, MIT; Part III Math Trips , Cambridge University, BA, Yale University

Vishal completed his B.A. in Mathematics and Philosophy at Yale University, graduating Magna Cum Laude with honors, and completed Part III of the Mathematics Tripos at the University of Cambridge with distinction. He then spent four years working as a “quant” in finance at Barclays Capital, focusing on derivatives pricing and risk management in commodities. Eventually, realizing how much he missed working towards a larger mission of impact, Vishal left the private sector to complete his Ph.D. in Operations Research at MIT in 2014.

Vishal is currently an Associate Professor of Data Sciences and Operations with a courtesy appointment in Industrial Systems Engineering.

Charlie Hannigan

Building
BRI
Room / Office
307 G
Assistant Professor of Clinical Data Sciences and Operations
Charlie Hannigan is a professor in the Data Sciences and Operations Department at the University of Southern California’s Marshall School of Business. His research is primarily focused on jail and judiciary systems, with the goal of increasing efficiency and reducing injustice. He is also concerned with people’s utility over time, and how that utility influences their choices and system dynamics. Charlie has earned a bachelor's in mathematics from the University of Texas at Dallas, and his MBA and Ph.D. from the University of Chicago.

Adel Javanmard

Building
BRI
Room / Office
300A
Associate Professor of Data Sciences and Operations

PhD Stanford University; B.Sc Sharif University of Technology

Adel Javanmard is an associate professor in the department of Data Sciences and Operation, at USC Marshall School of Business. He received his PhD in Electrical Engineering from Stanford University in 2014. His research interests are broadly in the area of high-dimensional statistics, machine learning, optimization, and personal decision making. Adel is the recipient of several highly prestigious awards, including the Alfred Sloan research fellow in mathematics, IMS Tweedie New Researcher Award, NSF CAREER award, Adobe Faculty Research Award, Google Faculty Research Award and the Thomas Cover dissertation award from IEEE Society.

Alireza Kabirian

Building
BRI
Room / Office
401 N
Associate Professor of Clinical Data Sciences and Operations

Jinchi Lv

Building
BRI
Room / Office
400A
Kenneth King Stonier Chair in Business Administration & Professor of Data Sciences and Operations

PhD, Princeton University; MS, BS, University of Science and Technology of China

Jinchi Lv is Kenneth King Stonier Chair in Business Administration and Professor in Data Sciences and Operations Department at USC Marshall, and Professor of Mathematics at USC. He received his Ph.D. in Mathematics from Princeton University in 2007. He is the recipient of the Royal Statistical Society Guy Medal in Bronze and was McAlister Associate Professor in Business Administration at USC. His research interests include statistics, machine learning, data science, business applications, and artificial intelligence and blockchain. His papers have been published in journals in statistics, economics, business, computer science, information theory, neuroscience, and biology.

Lorena Martin

Assistant Professor of Clinical Data Sciences and Operations
PhD, BS, University of Miami; MS, Nova Southeastern University; Postdoctoral Fellowships, UC San Diego

Professor Martin teaches courses that range from introductory statistics to statistical computing and data visualization. Prior to USC, she was the Director of Sports Performance Analytics for the LA Lakers and Director of High Performance for an MLB team. She is a contributing author of Sports Injury Prevention and Rehabilitation 2nd edition, Improving Exercise Adherence, and sole-authored, Sports Performance Measurement and Analytics. As an academic, she received funding from the NHLBI, NCI, and NIMHD for researching how health behaviors and analytics can help reduce health disparities.

Inga Maslova

Building
ACC
Room / Office
203
Assistant Professor of Clinical Data Sciences and Operations
Inga Maslova is an applied statistician specializing in time series analysis, machine learning, wavelet techniques, functional data analysis, big data, and applications to finance, business analytics, economics, hydrology, remote sensing, precision agriculture, and climate change problems. She has taught and developed courses in statistical learning, business statistics, data analytics and visualization. To her classroom she brings her own experience from consulting for Cisco, working with the World Bank on business cycle synchronization; analyzing drone data to help farmers make better crop management decisions at Utah Water Research Lab; using statistical learning models to forecast commodity prices. In 2018 she received a Golden Apple Teaching Award for teaching excellence. Before joining USC, Inga was a faculty at American University, Washington DC. She received her BS (Summa Cum Laude) in Mathematical Statistics from Vilnius University, Lithuania; MS and PhD in Statistics from Utah State University.

Milan Miric

Building
BRI
Room / Office
306C
Assistant Professor of Data Sciences and Operations
Milan Miric joined the IS Group within the DSO Department in 2016. His research tries to understand basic questions about how firms can capture and create value in digital industries. In particular, his research tries to understand how the unique structural features of digital industries (network effects, low costs of innovating, non-monetary motivations) influence the process by which firms capture and create value. His work is largely empirical combining large-scale panel datasets with interviews and field work. His research work draws heavily on insights from psychology, economics, and sociology but tries to contribute to the literature on information systems and innovation.

Gourab Mukherjee

Building
BRI
Room / Office
300B
Associate Professor of Data Sciences and Operations

PhD, Stanford University; MStat, BStat, Indian Statistical Institute

Gourab Mukherjee's research focuses on the development of new statistical theories and applied statistics methods for the disciplined analysis of complex data types that arises from various contemporary business and scientific problems. He has reported new phenomena and novel theoretical results in predictive inference and shrinkage methodology. He is involved in collaborative studies in quantitative marketing and virology.

Hiroshi Ochiumi

Building
BRI
Room / Office
308F
Associate Professor of Clinical Data Sciences and Operations

PhD, University of Southern California; MBA, University of Washington; BEng, Waseda University

Hiroshi Ochiumi is an operations management scholar. His research interests include supply chain management, design and analysis of contracts, and behavioral aspects of decision making. He teaches classes on operations management and designing spreadsheet-based business models. Prior to receiving his PhD, Professor Ochiumi worked for Hilti Japan and Goldman Sachs.

Francis Pereira

Building
BRI
Room / Office
401M
Associate Professor of Clinical Data Sciences and Operations

Ph.D. USC; B.S. Illnois State University

Dr. Francis Pereira received his Ph.D. in Political Economy and Public Policy from the University of Southern California. He has published over 15 articles in such prestigious journals as the Journal of Communications Networks.

Austin Pollok

Building
BRI
Room / Office
308
Assistant Professor of Clinical Data Sciences and Operations

PhD USC; BS UC-Irvine

Austin Pollok conducts research in quantitative and empirical finance working on stochastic optimization and forecasting using machine learning techniques. His research applications include trading and investing in finance and DeFi. He has previously worked at Capital Group as well as consulted for hedge funds and DeFi companies

Dawn Porter

Building
BRI
Room / Office
307C
Academic Director for the Masters of Science in Business Analytics, and Professor of Clinical Data Sciences and Operations Management

PhD, MPhil, MS, New York University; BA, Cornell University

Dawn Porter is a statistician who has published in Management Science and is the coauthor of Basic Econometrics (fifth edition). Prior to joining USC, she served on the faculty at Georgetown University. Professor Porter has consulted for KPMG Consulting, Ginnie Mae, Inc., and Toys R Us.

Sampath Rajagopalan

Building
BRI
Room / Office
400D
Professor of Data Sciences and Operations

PhD, MS, Carnegie Mellon University; MBA, Indian Institute of Management - Ahmedabad; BTech, Indian Institute of Technology - Madras

Raj Rajagopalan's research covers capacity and technology acquisition, supply chain management, and product variety. He has published in journals such as Management Science, Production and Operations Management, and Operations Research. He served as a Department Editor at IIE Transactions and as Associate Editor at Management Science and Operations Research. At Marshall, he was Chair of the IOM Department from 2000-04 and the Founding Academic Director of the MS program and Center for Global Supply Chain Management. He has taught courses in operations and supply chain management in various MBA programs. He has consulted for Johnson and Johnson, Fidelity Investments, and Hewlett Packard.

Ramandeep Randhawa

Building
BRI
Room / Office
103B
Vice Dean for Undergraduate Programs & Professor of Data Sciences and Operations

PhD, MS, Stanford University; BTech, IIT Delhi

Ramandeep S. Randhawa is an operations research scholar whose research interests include designing service systems, revenue management, stochastic modeling, and mechanism and incentive design. His work has been published in journals that include Management Science, Manufacturing and Service Operations Management, and Operations Research. Prior to joining the Marshall School, he was a faculty member at the McCombs School of Business at the University of Texas.

Phil Rogers

Building
BRI
Room / Office
400E
Associate Professor of Clinical Data Sciences and Operations
Phil Rogers received a B.S. in Mathematics from Rensselaer Polytechnic Institute and both an M.S. and Ph.D. in Operations Research from the University of California at Berkeley, with minors in Statistics and Mathematical Economics. During a 33-year career at Exxon Corporation, Phil developed many sophisticated mathematical models that were used to optimize a wide variety of the Corporation's business operations. He then joined the University of Houston, where he taught courses in statistics, business modeling and decision making and was awarded a university-wide teaching excellence award. Following a year-and-a-half stay at Arizona State University, where he taught business modeling and optimization, Phil joined the Marshall School of Business, where he coordinates the undergraduate core statistics course and teaches in the MBA program.

Paat Rusmevichientong

Building
BRI
Room / Office
400F
Justin Dart Professor in Operations Management & Professor of Data Sciences and Operations

PhD, MS, Stanford University; BA, UC-Berkeley

Paat Rusmevichientong's research focuses on large-scale stochastic optimization problems, with applications to market systems, supply chains, and revenue management. His research has been published in Management Science, Operations Research, and Mathematics of Operations Research. He received the INFORMS George B. Dantzig Dissertation award in 2003 and the NSF CAREER award in 2008. Prior to joining USC, he was a faculty member in the School of Operations Research and Information Engineering at Cornell University, where he was voted Professor of the Year in 2009 and 2011.

Matteo Sesia

Assistant Professor of Data Sciences and Operations

PhD, Statistics, Stanford University (advisor: Emmanuel Candès); MS, Physics of Complex Systems, Politecnico di Torino (Italy); BS, Engineering Physics, Politecnico di Torino.

Matteo Sesia is an assistant professor in the department of Data Sciences and Operation, at the USC Marshall School of Business. His research is focused on developing data science methods combining the power of machine learning algorithms with the reliability of rigorous statistical guarantees. While pursuing this goal, he enjoys dividing his time between theoretical, methodological, computational, and applied work. His doctoral research earned the Jerome H. Friedman Applied Statistics Dissertation Award from the Stanford Statistics Department in 2020.

Abbass Sharif

Building
BRI
Room / Office
306B
Associate Professor of Clinical Data Sciences and Operations

PhD, MS, Utah State University; MS, BS: Lebanese American University

Abbass Sharif’s specialty is in the field of statistical computing and data visualization. Professor Sharif has developed and published new multivariate visualization techniques for functional data and currently he is developing visualization techniques to study brain activity data collected via the near-infrared spectroscopy (NIRS) technology. Professor Sharif teaches statistics courses that range from introductory statistics to data analysis for decision-making through to advanced modern statistical learning techniques.

Peng Shi

Building
BRI
Room / Office
303D
Assistant Professor of Data Sciences and Operations
Peng is interested in developing quantitative methodologies for the betterment of society. His current research focuses on optimization in matching markets, with applications in school choice, public housing, and two-sided marketplaces. His research on school choice has won multiple awards, including the MSOM Responsible Research in OM Award, ACM SIGecom Doctoral Dissertation Award, the INFORMS Public Sector Operations Best Paper Competition, and the INFORMS Doing Good with Good Operations OR Student Paper Competition. Prior to joining USC, he completed a PhD in operations research at MIT, and was a post-doctoral researcher at Microsoft Research.

Douglas Shook

Building
Other
Room / Office
CAL 330
Chief Information Officer & Professor of Clinical Data Sciences and Operations

PhD, MA, University of Southern California; BA, University of Michigan

Douglas Shook specializes in the design, implementation and management of information technology, with particular focus on data management, data modeling, and information technology architecture. His academic research centers on the interaction of organizational structure and the effective use of computer-mediated information and communication systems. He has published in Organizational Science and the Journal of Management Studies. Professor Shook received the Excellence in Teaching Award from the Marshall Business Student Government in 2003-2004, the "Teaching Has No Boundaries" award from USC for 2001-2002, Marshall's Golden Apple Award in 1996, 1999, 2001, 2005, and 2009.

Somya Singhvi

Assistant Professor of Data Science and Operations

PhD, MIT; BS, Cornell University

Somya Singhvi is an assistant professor in Data Sciences and Operations. Somya received his Ph.D. in Operations Research from MIT, focusing on improving the design of digital agri-platforms and markets. He earned his BS in Operations Research & Information Engineering from Cornell University, graduating Magna Cum Laude with honors. Before joining USC, he was a postdoctoral fellow at the Center for Global Development.

Somya’s work uses a combination of field-based research and analytics to improve the design of digital platforms in developing and emerging markets. He continues to collaborate with government organizations and industry partners to drive impact in practice.

Greys Sosic

Building
BRI
Room / Office
401A
Department Chair, E. Morgan Stanley Chair in Business Administration and Professor of Data Sciences and Operations

PhD, University of British Columbia; MS, BS, University of Zagreb

Greys Sošić holds a PhD from the University of British Columbia, and a master's and a bachelor's degree from the University of Zagreb, Croatia. Her research interests include supply chain management, sustainability, competition and cooperation in supply chains, with emphasis on coalition stability. Her work has been published in Management Science, Operations Research, M&SOM, and POMS. Greys is an Associate Editor for Operations Research, IIE Transactions, and POMS. She has received Dean's Awards for Research Excellence and IISE Transactions Design & Manufacturing Best Paper Award. She has been teaching courses on supply chain management, sustainability, and sourcing.

Ashok Srinivasan

Building
BRI
Room / Office
401F
Associate Professor of Clinical Data Sciences and Operations

PhD, Carnegie Mellon University; MBA, University of Delhi; BEng, University of Madras

Ashok Srinivasan's research interests include supply-chain management, nonprofit management, and productivity analysis. His research has appeared in Management Science, Operations Research, European Journal of Operational Research, and Managerial and Decision Economics, including "Leadership and Competition in Network Supply Chains," with P. Majumder, that appeared in Management Science in June 2008.

Mika Sumida

Assistant Professor of Data Sciences and Operations

PhD, Cornell University; BA, Yale University

Mika is an assistant professor in the Department of Data Sciences and Operations at the USC Marshall School of Business. Her research focuses on developing efficient and provably good algorithms for revenue management and resource allocation problems. She is especially interested in problems with applications in online marketplaces, delivery systems, and the sharing economy. She obtained her PhD at the Cornell School of Operations Research and Information Engineering under the supervision of Huseyin Topaloglu. Prior to her PhD, Mika spent two years working in operations and management consulting at Analytics Operations Eng., Inc.

Tianshu Sun

Building
BRI
Room / Office
310B
Associate Professor of Data Sciences and Operations
Tianshu Sun's research conducted in collaboration with leading private and public sector platforms addresses how firms can use large-scale field experiments in conjunction with big data to improve business decisions. His current research focuses on understanding 1) how digital platforms can use IT-enabled and data-driven interventions to influence social sharing among individuals, and 2) how organizations can leverage mobile and Internet of Things to integrate individuals' online and offline experience. Tianshu has worked closely with a variety of organizations including Facebook and Alibaba. Many findings from these studies have been implemented by collaborating organizations. Tianshu has given over 70 talks at top universities and international conferences, and has research papers published in Management Science, Information Systems Research, and Journal of Health Economics. Tianshu's research has received 9 Best Paper Awards (ICIS,CIST,WITS,INFORMS), and has been supported by grants from Adobe and Marketing Science Institute.

Xin Tong

Building
BRI
Room / Office
310A
Associate Professor of Data Sciences and Operations

PhD, Princeton University; BS, University of Toronto

Xin Tong's current research interests focus on asymmetric statistical learning, addressing challenges in the Neyman-Pearson classification paradigm, data distortion, sampling bias, asymmetric groups in classification and clustering, and partial knowledge in clustering and community detection. He has published papers in journals that include Science Advances, Journal of American Statistical Association, Journal of the Royal Statistical Society: Series B and the Journal of Machine Learning Research. Professor Tong's research has been partially supported by US NSF and NIH.

Nick Vyas

Building
ATT
Room / Office
954
Associate Professor of Clinical Data Sciences and Operations

NICK VYAS, BS, MBA, Ed.D, University of Southern California

Dr. Nick Vyas, a practitioner in operations management and organizational excellence through the application of Blended Quality Management, AI, ML, RPA, Blockchain, and Data Analytics received his Doctor of Education from USC with his published dissertation on Conceptualization of Higher Education Excellence System (HEES): Use of Advance Data Analytics and Blended Quality Management. A Subject Matter Expert in End-to-End Global Supply Chain Management (GSCM), Vyas has led business transformation for fortune 100 companies. As USC CGSCM’s Executive Director/ Co-founder, Director of MS GSCM and as an Assistant Professor, he was presented with the Golden Apple Award for teaching excellence and recognized as a “Supply Chain Leader” for the APICS Excellence Awards. As a thought leader, he speaks at conferences on global trade, disruptive technology and GSCM. Vyas serves to make GSCM education accessible through the Gift of Knowledge scholarship at USC MS GSCM program and Supply Chain Professionals without Borders. Working closely with students, Vyas consulted for over 25 global operations across various sectors. He integrated technology and directed teams that both optimized speed-to-market and managed cost/quality.

Angela Zhou

Building
BRI
Room / Office
401 S
Assistant Professor of Data Sciences and Operations

Previously, she obtained her PhD at the Cornell School of Operations Research and Information Engineering working with Nathan Kallus.

Angela is an assistant professor in the Data Sciences and Operations Dept. at the USC Marshall School of Business. Her research focuses on reliable data-driven decision-making under uncertainty. She develops methodology with guarantees building on tools from operations research, causal inference, and statistical machine learning. She is motivated by problems in consequential domains such as platform-mediated systems, healthcare, and public policy, and interested in improving interfaces between method and practice. To these ends, her research has developed robust causal inference for decision-making, and credible performance evaluation for algorithmic fairness and disparity assessment.

Emeriti

Yehuda Bassok

Professor Emeritus of Data Sciences and Operations

PhD, Carnegie Mellon University; BA, BS, The Hebrew University

Yehuda Bassok's research interests include supply chain management, design and analysis of purchasing contracts, management of centralized and decentralized inventory systems, and bargaining within supply chains. His research has been published in many top journals, including Management Science and Operations Research. Prior to joining USC, he was on the faculty of Northwestern University and a visiting professor at the University of Washington. Professor Bassok served as chief system analyst of SES, a company that specialized in developing real time data collection and scheduling systems. Professor Bassok has received several teaching awards, including Marshall's Golden Apple Award in 2003.

Richard Chase

Justin Dart Professor Emeritus of Data Sciences and Operations

PhD, UCLA

Richard B. Chase received his Ph.D. from the University of California, Los Angeles in the field of Operations Management. He is widely known for his work in service design Richard has published papers in journals that include Management Science, Operations Research, Journal of Service Research, Journal of Operations Management, and Manufacturing & Service Operations Management.He is on the editorial boards of Manufacturing & Service Operations Management; an Editorial Advisory boards of Production and Operations Management Journal, Journal of Operations Management, and the Journal of Service Research,and the Cornell Quarterly Dick has consulted with a variety of organizations including IBM, MGM Grand, Westin Hotels, and Aloha Airlines.

Delores Conway

Associate Professor Emeritus of Data Sciences and Operations

PhD, MS, Stanford University; BS, University of Wisconsin

Delores Conway is a statistician who studies real estate markets. Her research has been published in the Journal of Real Estate Finance and the Journal of Econometrics. Professor Conway is director of the Casden Real Estate Economics Forecast at the USC Lusk Center for Real Estate, and in 2005-06 and 2007-08 was selected as one of 50 "Women of Influence in Real Estate" by Real Estate Southern California Magazine.

Ravi Kumar

Professor Emeritus of Data Science & Operations

PhD Industrial Engineering & Management Sciences, Northwestern University
M.S. Industrial Engineering, University of Texas at Arlington

From 1987 to 2013, he was Professor of Operations Management in Department of Information and Operations Management and served as Department Chairman, Vice Dean for International and Graduate Programs. From 2009-2011, he served as Distinguished Professor and Dean of College of Business at Korea Advanced Institute of Science and Technology (KAIST). From 2013-2018, he was Shaw Chair Professor at Nanyang Business School (NBS) in NTU, Singapore, where he served as Dean and Associate Provost. During his tenure, NBS was globally ranked by the Financial Times as # 10 for its EMBA and # 22 for its MBA and he helped raise over SG$35 million. Professor Kumar has received awards for teaching excellence at both University of Illinois and USC. Professor Kumar is author or co-author of more than 70 articles in international peer-reviewed academic journals. Global companies have funded his research as well as the National Science Foundation.

Ann Majchrzak

Building
BRI
Room / Office
401C
Professor Emeritus of Data Sciences and Operations

PhD, MA, UCLA; BA, Pitzer College

Ann Majchrzak is the USC Associates' Chaired Professor of Business Administration for Marshall. She teaches and does research on digital innovation. She is a Fellow of the Association for Information Systems. She has held concurrent appointments at Esade Business School, Ramon Llull University (Barcelona, Spain) Vrije Universiteit Amsterdam, LUISS School of Business and Management (Rome, Italy) and Simon Fraser University (Vancouver Canada) in the areas of Innovation and Organization. She has a 2020 book: Unleashing the Crowd: Collaborative Solutions for Wicked Business and Societal Problems, a Marshall webinar for Covid19 & Small Businesses, and a Tommy Talk on the subject.

Richard McBride

Professor Emeritus of Information and Operations Management

John Rolph

Professor Emeritus of Data Sciences and Operations

PhD, AB, UC-Berkeley

John Rolph applies statistical methods to public policy issues such as juror systems, medical malpractice, and criminal justice. His research has appeared in the Journal of the American Medical Association, Management Science, and the Journal of the American Statistical Association. Past editor of CHANCE, he is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, and has chaired National Academy panels on the National Ballistics Database and National Statistics. Professor Rolph has consulted for General Electric, Kaiser Health Plans, and State Farm Insurance.

Bert Steece

Professor Emeritus of Data Sciences and Operations

PhD, AM, University of Southern California

Bert Steece has published in the IEEE, The Accounting Review, and Management Science. He serves on the editorial board of Mathematical Reviews and has served as national program director for the American Statistical Association. He is a coauthor of the Software Cost Estimation with COCOMO II. Professor Steece served as Marshall's Dean of Faculty from 1989 to 2001 and directed the school's doctoral program for nine years. He is a Principal in the Center for Systems and Software Engineering, and has worked as a consultant and expert witness for Southern California Edison, Jet Propulsion Laboratory, and Cornerstone Research, among others.

Jonathan Yormark

Associate Professor Emeritus of Data Sciences and Operations

PhD, MS, Purdue University; BS, College of the City of New York

Jonathan Yormark has published papers in the Journal of the American Real Estate and Urban Economics Association, Management Science, and OMEGA: The International Journal of Management Science.

Adjunct and Part-time

Cosimo Arnesano

Adjunct Professor of Data Sciences and Operations

Joydeep Banerjee

Adjunct Professor of Data Sciences and Operations
As a member of the Senior Technical Leadership for Multicloud Management at Red Hat, Joydeep’s focus is Observability, Far Edge & Scalability. Previously at The Walt Disney Studios, he partnered with the VP of Strategic Initiatives to drive the digital transformation of a key application, breaking it into micro services and migrating it to Cloud. In his many years at IBM, Joydeep has spear headed key projects and worked across many technologies in the areas of Distributed Computing, Streaming Analytics & J2EE. He is big believer in DevOps transformation, Agile Methodology & Design Thinking. He is interested in replicating the success of AI/ML in other fields to the area of Observability.

Aljosja Beije

Adjunct Professor of Data Sciences and Operations
Aljosja is a MSc in Quantitative Economics from Erasmus University and is currently a Director of Blocklab. Blocklab develops solutions based on emerging technologies such as AI, Blockchain and ML to solve the digital challenges surrounding the energy transition and digital and green supply chains. Before Blocklab, he held a number of senior and C-level management positions in IT and SCM, within companies such as Kuehne & Nagel, GE and Nokia.

He co-authored, together with Nick Vyas and Bhaskar Krishnamachari of the University of Southern California the book “Blockchain and the Supply Chain: Concepts, Strategies and Practical Applications.”, which is now in its second edition.

Sudi Bhattacharya

Adjunct Professor of Data Sciences and Operations
Sudi Bhattacharya is a Software and ML Engineering leader experienced in running business transformation programs that harvest(big) data as a core asset, extract machine learning model-based insights from data and nurture a culture of data-driven decision making for Fortune 500 companies. Sudi is currently working as a Senior Software Development Manager in Amazon Web Services where he is leading multiple teams of software, data and business intelligence engineers. Sudi has an MBA from University of Chicago Booth School of Business. In his spare time, Sudi plays Tennis, Table Tennis, fingerpicks the flamenco guitar and reads fantasy and science fiction novels.

Yu Chen

Adjunct Professor of Data Sciences and Operations

Stephen Coggeshall

Adjunct Professor of Data Sciences
As Chief Analytics and Science Officer for ID Analytics , Dr. Stephen Coggeshall has worked closely with the executive team since the company’s inception, and has been instrumental in building their initial technical team and product roadmap. Coggeshall has spent his 20-plus year career leading scientists to build practical solutions to difficult business programs using advanced analytics. Coggeshall holds a M.A., M.S. and Ph. D. from the University of Illinois, and a B.A. and B.S. from Southern Illinois University at Edwardsville.

Tathagata Dasgupta

Adjunct Professor of Data Sciences and Operations

Dual Ph.D. in Operations Research & Management Science, 1998, Penn State University / MA in Statistics, 1992, SUNY at Buffalo /B.Sc. in Statistics, 1989, Presidency College of Calcutta, India

Dr. Das Dasgupta is Chief Data Officer at Saatchi & Saatchi, where he leads Data Science Operations and Advanced Analytics. Dr. Dasgupta's past experience includes leadership roles at Amazon, McKinsey, EY, and most recently Viacom. He has over 20 years of experience in helping organizations with their Strategy, Operations, and Data Analytics initiatives. He teaches Business Analytics and Logistics courses at the Marshall School and has Dual Ph.D. Titles in Operations Research and Management Science from Penn State University.

Joshua Derenski

Adjunct Professor of Data Sciences and Operations

B.S. in Statistics with a minor in mathematics

Josh is a statistics Ph.D. student in the Marshall School of Business. He obtained his bachelor’s degree in statistics at UCLA, where he analyzed energy consumption data for the UCLA Institute for the Environment and Sustainability. His current research interests are time series analysis and functional data analysis.

Dylan Fonseca

Adjunct Professor of Data Sciences and Operations

Vitaly Glozman

Adjunct Professor of Data Sciences and Operations

MBA, University of Southern California, Los Angeles; BS Mechanical Engineering, California Polytechnic University, Pomona

Vitaly Glozman is an Adjunct Professor at Marshall School of Business, Data Sciences and Operations. Vitaly specializes in supply chain, product development, and program management. Vitaly served as Partner at PwC, Pharma and Life Sciences practice, where he focused on manufacturing and vaccines development. Prior to PwC, Vitaly developed practices at PRTM Management Consultancy across life sciences and technology sectors. Vitaly started his career at Boeing, where he served as a program manager for large aerospace programs. Vitaly conducted analysis on AI applications in operations at MIT and has published research on pandemic preparedness in The Lancet Infectious Disease.

Christopher Gopal

Building
BRI
Room / Office
307G
Adjunct Professor of Data Sciences and Operations

Jeffrey Higgins

Adjunct Professor of Data Sciences and Operations

MBA, University of Southern California; BS Utah State University

Jeff Higgins is founder and CEO of Human Capital Management Institute (HCMI), a predictive analytics workforce planning software and consulting company. HCMI features SOLVE predictive analytics, the only ISO30414 compliant human capital reporting software on the market today. Mr. Higgins is an Adjunct professor of HR & People Analytics at the University of Southern California (USC), founding member of the Workforce Intelligence Consortium, member of the ISO Technical Advisory Group (TAG) on human capital, US lead for #ISO30414 Human Capital Reporting Standard, board member Center for Talent Reporting (CTR) and editorial committee member IHRIM Workforce Solutions Review (WSR) magazine.

Beibei Li

Visiting Associate Professor of Data Sciences and Operations

Inge Lindholm

Adjunct Professor of Data Sciences and Operations

Saeed Mohasseb

Adjunct Professor of Data Sciences and Operations
Prior to the KPMG acquisition of Wise Window, Inc., a data analytics company, in April 2012, Sid Mohasseb was the Chief Executive Officer and Chairman of the Board for Wise Window, Inc. At KPMG, he is a Managing Director for Data Analytics and the national lead for Data Analytics Driven Dynamic Strategy & Execution practice as well as a member of the KPMG US DA leadership team. Additionally, he is an Adjunct professor at University of Southern California (USC) Marshall Business School as well as Argyros School of Business and Economics at Chapman University.

Daryl Ono

Adjunct Professor of Data Sciences and Operations

Ash Pahwa

Adjunct Professor of Data Sciences and Operations
Ash Pahwa, Ph.D., is an educator, author, entrepreneur, and technology visionary with three decades of industry and academic experience. He has founded several successful technology companies during his career.

His expertise includes Machine Learning, Deep Learning, Natural Language Processing, Digital Image Processing, and data storage technologies.

In Industry, Dr. Pahwa has worked for General Electric, AT&T Bell Laboratories, Xerox Corporation, and Oracle.

In Academia, Dr. Pahwa is an Adjunct Professor at the University of Southern California. He is also affiliated with Caltech and the University of California system which includes UC Irvine and UC San Diego.

Rik Reppe

Adjunct Professor of Data Science and Operations

Keith Robinson

Adjunct Professor of Data Sciences and Operations
I am pleased to be Adjunct Professor of Data Sciences and Operations (DSO) at USC where I will teach Statistics at the Marshall School of Business. I am a trained quantitative researcher who has extensive experience working with survey data and large longitudinal data sets, conducting rigorous quantitative analyses with Excel and STATA, teaching undergraduate and graduate statistics, presenting research at major academic conferences, and publishing research in the top peer reviewed journals.      

Ted Ross

Adjunct Professor of Data Sciences and Operations
Ted Ross is Chief Information Officer (CIO) for the City of Los Angeles. He is an MBA graduate, licensed CPA, and has over 24 years of private and public sector technology experience, earning various awards, including a global Smart City Award in Barcelona, Civic Innovator in the Pandemic from Harvard, #1 Digital City in the U.S., and CIO of the Year according to the L.A. Business Journal. Ted has been featured in Fortune Magazine, Wall Street Journal, The Economist, and presented at numerous global technology conferences. Ted is currently an Adjunct Professor at the USC Marshall School focusing on smart cities and digital strategy.

Daniela Saban

Building
BRI
Room / Office
401 G
Visiting Assistant Professor of Data Sciences and Operations

I hold a PhD in Decision, Risk, and Operations from Columbia Business School and a B.Sc. and an M.Sc. in Computer Science from Universidad de Buenos Aires.

I am an Associate Professor of Operations, Information, and Technology at Stanford Graduate School of Business. I will be on leave for the AY 2022-2023, visiting the Department of Data Sciences and Operations, USC Marshall. My research explores issues related to the operations of online marketplaces, including matching markets and procurement platforms. I serve as an associate editor for Management Science, Manufacturing & Service Operations Management, Mathematics of Operations Research, Operations Research, and Operations Research Letters.

Richard Selby

Adjunct Professor of Data Sciences and Operations
Richard W. Selby is a Director of Software Products at Northrop Grumman Aerospace Systems in Redondo Beach, CA. He leads a 250-person software organization and has served in this position since 2001. Previously, he was the Chief Technology Officer and Senior Management Company (PIMCO) in Newport Beach, CA where he managed a 105-person organization for three years. From 1985-1998, he was a Full Professor of Information and Computer Science (with tenure) at the University of California in Irvine, CA (UC Irvine).

Vivek Sharma

Adjunct Professor of Data Sciences and Operations

MBA, INSEAD; BA, Indian Institute of Technology

Vivek Sharma teaches business innovation to graduate data science & MBA students. He is CEO & Founder of InStride, a strategic enterprise education company enabling employers to provide career-boosting degrees to their employees, through leading global universities. Previously, Vivek was SVP, Digital Guest Experience & eCommerce for Disney Parks, Experiences & Products, where he led global eCommerce, physical-digital convergence and AI integration. Vivek also served as GM of Yahoo! Mail & Messenger, and as an associate partner in McKinsey & Company’s Technology practice. Vivek is an independent board director of JetBlue Airways (NASDAQ: JBLU).

Bala Subramanian

Adjunct Professor of Data Sciences and Operations
Bala Subramanian’s teaching approach is informed by 25+ years of developing winning strategies by applying analytics steeped in customer understanding. He is President of NuEdge Consulting in Santa Monica, CA providing strategy advice to varied retail, travel, service, non-profit organizations … Fortune 100 to startup. Previously, he was VP of Customer Analytics at Wal-mart from 2011-2014 optimizing Membership/Merchandising/Marketing strategy to grow $60 billion club business. From 1999-2010, he was SVP of Global Distribution Services evolving several industry dominating brands for Hilton hotels, and building sustained marketing leverage through the digital transformation of customer conversations. Bala has an MBA from University of Minnesota, and BTech from Indian Institute of Technology, Kanpur.

Kathy Takayama

Adjunct Professor of Data Science and Operations

MBV, USC; BS Applied Mathematics with an emphasis in Computer Science and Statistics, UC Davis

Kathy Takayama always wanted to teach. That dream started immediately out of college when she was recruited to be a US Naval Nuclear Power School Instructor, where she trained enlisted and officer students on how to operate nuclear-powered submarines and aircraft carriers. She transitioned out of the military into a career in program management, initially at a large corporate bank running IT programs, and later as an R&D program manager at Hewlett Packard, eventually taking on roles as Chief of Staff and Operations Officer for a large business unit. Today, she is living her dream, sharing decades of business experiences with future business leaders at the USC Marshall School of Business.

Robert Wang

Adjunct Professor of Data Science and Operations

PhD, Anderson Graduate School of Management, UCLA. MS, Shanghai University of Technology.

Prior to joining USC, Robert has 7 years of management consulting experience with Ernst & Young and Deloitte & Touch. In 2001, he joined the Business Analytics and Optimization Group of Nestle USA. As a principal of the group, Robert is the mastermind behind many holistic solutions for some of the very complex business problems. He specializes in using OR, large-scale optimization, machine learning, statistics, visualization, and other analytic techniques on complex business problems. He has successfully lead the design, development, and implementation of solutions for Supply Chain Network Design, Inventory Optimization, Supply Planning, Deployment Planning, Network Capacity Planning, Trade Optimization, and Transportation.