PhD, MS, University of Southern California; MTech, IIT- Madras; BEng, Anna University
PhD, UCLA Anderson School of Management; MS & BS, Industrial Engineering, Bilkent University
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.
PhD, Statistics, Stanford (advisor: Robert Tibshirani); BS, Physics, Stanford
PhD, MIT; MBA, Indian Institute of Management - Calcutta; BTech, Indian Institute of Technology - Bombay
PhD, MS, Cornell University; BS, University of Florida
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 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.
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
PhD, Utah State University; MS, BS, Vilnius University
PhD - Harvard University; M.A. - Tsinghua University
PhD, MIT; Part III Math Trips , Cambridge University, BA, Yale University
Vishal is currently an Associate Professor of Data Sciences and Operations with a courtesy appointment in Industrial Systems Engineering.
PhD Stanford University; B.Sc Sharif University of Technology
PhD, Princeton University; MS, BS, University of Science and Technology of China
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.
PhD, Stanford University; MStat, BStat, Indian Statistical Institute
PhD, University of Southern California; MBA, University of Washington; BEng, Waseda University
Ph.D. USC; B.S. Illnois State University
PhD USC; BS UC-Irvine
PhD, MPhil, MS, New York University; BA, Cornell University
PhD, MS, Carnegie Mellon University; MBA, Indian Institute of Management - Ahmedabad; BTech, Indian Institute of Technology - Madras
PhD, MS, Stanford University; BTech, IIT Delhi
PhD, MS, Stanford University; BA, UC-Berkeley
PhD, Statistics, Stanford University (advisor: Emmanuel Candès); MS, Physics of Complex Systems, Politecnico di Torino (Italy); BS, Engineering Physics, Politecnico di Torino.
PhD, MS, Utah State University; MS, BS: Lebanese American University
PhD, MA, University of Southern California; BA, University of Michigan
PhD, MIT; BS, Cornell University
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.
PhD, University of British Columbia; MS, BS, University of Zagreb
PhD, Carnegie Mellon University; MBA, University of Delhi; BEng, University of Madras
PhD, Cornell University; BA, Yale University
PhD, Princeton University; BS, University of Toronto
NICK VYAS, BS, MBA, Ed.D, University of Southern California
Previously, she obtained her PhD at the Cornell School of Operations Research and Information Engineering working with Nathan Kallus.
PhD, Carnegie Mellon University; BA, BS, The Hebrew University
PhD, MS, Stanford University; BS, University of Wisconsin
PhD Industrial Engineering & Management Sciences, Northwestern University
M.S. Industrial Engineering, University of Texas at Arlington
PhD, MA, UCLA; BA, Pitzer College
PhD, AB, UC-Berkeley
PhD, AM, University of Southern California
PhD, MS, Purdue University; BS, College of the City of New York
Adjunct and Part-time
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.
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
B.S. in Statistics with a minor in mathematics
MBA, University of Southern California, Los Angeles; BS Mechanical Engineering, California Polytechnic University, Pomona
MBA, University of Southern California; BS Utah State University
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.
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.
MBA, INSEAD; BA, Indian Institute of Technology
MBV, USC; BS Applied Mathematics with an emphasis in Computer Science and Statistics, UC Davis
PhD, Anderson Graduate School of Management, UCLA. MS, Shanghai University of Technology.