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.

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.

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.

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.

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.

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.

PhD, University of Pittsburgh; MS, West Virginia University; BS, Virginia Tech

Anthony Dukes studies marketing intermediaries - the businesses that connect marketers to their customers - such as retailers, e-commerce platforms, and commercial content sites. Professor Dukes’ research appears regularly in leading academic journals such as Journal of Marketing Research, Management Science, and Marketing Science. He teaches graduate classes in pricing and in marketing analytics. He is Co-Director (with Danny Sokol) of the Initiative on Digital Competition and senior editor at the journal Marketing Science.

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.

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.

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.

PhD, Wharton School, University of Pennsylvania; BA, Pomona Collage

Christopher Jones conducts research on empirical asset pricing and financial econometrics. He is an expert on volatility modeling and its application to option pricing and fixed income. He currently teaches courses on investment management. Prior to USC, Professor Jones was on the faculty at the University of Rochester.

PhD, University of Maryland

Lan Luo’s primary research interests relate to applications of artificial intelligence in marketing. She publishes and serves on the editorial review board of premier marketing journals such as Journal of Marketing Research and Marketing Science, among others. Professor Luo is the recipient of several prestigious research awards, including the John D.C. Little Award, the Donald R. Lehmann Award (twice), and the Paul E. Green Award finalist (twice). At USC Marshall, she has been granted the Dean’s Research Excellence Award and Golden Apple Award for her teaching excellence. Professor Luo also consulted for commercial litigation involving product defects and counterfeits.

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.

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 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 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.

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.

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.

PhD, University of Southern California

Greg Patton is an expert in communication, interpersonal and leadership effectiveness. He has received numerous teaching awards, been ranked as one of the top teaching faculty at USC and helped USC Marshall achieve numerous #1 worldwide rankings for Communication and Leadership skill development. Professor Patton has extensive international experience, has trained, coached and mentored thousands of leaders worldwide, and created scores of successful leadership programs. He has advised on several hundred consulting engagements throughout the Pacific Rim, serves as a keynote speaker and has held more than twenty leadership positions in national and international organizations.

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.

PhD, Yale University; MBA, University of California, Los Angeles; BA, Stanford University

Dennis Schorr is an expert on strategic flexibility, marketing resources and capabilities, and competitive advantage. His research has been published in the Journal of Personality and Social Psychology. He has consulted for a variety of organizations in Marketing Strategy, Marketing Research and Strategy, and Total Quality Management and Market Responsiveness.

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).

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 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.

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.

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, 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.

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.