Faculty

Santiago Balseiro is an Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. He teaches the core MBA class Business Analytics and the core Ph.D. class Foundations of Optimization.

Omar Besbes's primary research interests are in the area of data-driven decision-making with a focus on applications in e-commerce, pricing and revenue management, online advertising, operations management and general service systems. His research has been recognized by multiple prizes, including the 2019 Frederick W. Lanchester Prize, the 2017 M&SOM society Young Scholar Prize, the 2013 M&SOM best paper award and the 2012 INFORMS Revenue Management and Pricing Section prize. He serves on the editorial boards of Management Science and Operations Research.

Professor Broadie currently teaches the elective courses Security Pricing: Models and Computation, Computational Finance, and Programming for Business Research. He is an Academic Advisory Board Member for the Program for Financial Studies. His research interests include the pricing of derivative securities, risk management and, more generally, quantitative methods for decision-making under uncertainty.

Professor Chan teaches the core MBA class, Operations Management. Her primary research interests are in data-driven modeling of complex stochastic systems, dynamic optimization, and queueing with applications in health-care operations management. Her current focus is on combining empirical approaches with mathematical modeling to develop evidence-based approaches to improving patient flow through hospitals, and particularly intensive care units.

Jing Dong is an Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. Her primary research interests are in applied probability and stochastic simulation, with an emphasis on applications in service operations management. Her current research focuses on developing data-driven stochastic modeling to improve patient flow in hospitals.

Awi Federgruen is the Charles E. Exley Professor of Management and Chair of the Decision, Risk, and Operations (DRO) Division of Columbia University's Graduate School of Business, where he served as Senior Vice Dean from 1997-2002. Professor Federgruen also served for many years as the Chair of the DRO Division, most recently from 2004-2010.

Professor Fraiman joined the faculty after a 17-year career at International Paper Company, where his most recent position was chief technology officer for eight manufacturing divisions. Prior to this he developed and managed a group responsible for productivity improvement and process innovation, and still earlier he directed company-wide educational activities. Fraiman teaches operations and technology management. His research explores institutionalizing quality improvement. He specializes in the retailing, consulting and process industries.

Professor Glasserman's research and teaching address risk management, quant finance, Monte Carlo simulation, statistics and operations. Prior to joining Columbia, Glasserman was with Bell Laboratories; he has also held visiting positions at Princeton University, NYU, and the Federal Reserve Bank of New York. In 2011-2012, he was on leave from Columbia and working at the Office of Financial Research in the U.S. Treasury Department, where he continues to serve as a part-time consultant.

Linda Green is the Cain Brothers and Company Professor Emerita of Healthcare Management at Columbia Business School. She is also the Faculty Director of the Healthcare and Pharmaceutical Management Program at the business school.

Daniel Guetta is Associate Professor of Professional Practice at Columbia Business School and Director of the Business School's Center for Pricing and Revenue Management. He is also Director of the Business Analytics Initiative at the Columbia Business School and Columbia Engineering. His research focuses on the ways companies can harness the power of data and analytics to drive value. He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as python and cloud computing.

Yash Kanoria is an Associate Professor of Business in the Decision, Risk and Operations division at Columbia Business School, working primarily on matching markets and the design and operations of marketplaces. Previously, he obtained a BTech from IIT Bombay in 2007, a PhD in Electrical Engineering from Stanford in 2012, and spent a year at Microsoft Research New England during 2012-13 as a Schramm postdoctoral fellow. He received an NSF CAREER Award in 2017, a Simons-Berkeley Research Fellowship in 2015 and an INFORMS JFIG paper competition second prize in 2014. 

Hongyao Ma is an Assistant Professor of Business in the Decision, Risk, and Operations division at Columbia Business School. Her research is situated at the interface of computer science, economics and operations, with a particular focus on market design. Hongyao completed her Ph.D. in Computer Science at Harvard University in 2019, and worked as a postdoctoral researcher at Uber and then Caltech during 2019-2020. She obtained her M.S. in 2014 at Harvard, and B.E. in 2012 at Xi'an Jiaotong University, both in Electrical Engineering.

Will Ma is an Assistant Professor of Decision, Risk, and Operations at Columbia Business School. During 2018-2019, he was a postdoctoral researcher at Google. He received his Ph.D. in 2018 from the MIT Operations Research Center, advised by David Simchi-Levi. His research is primarily focused on Revenue Management, building data-driven models to help e-tailers coordinate their product recommendation decisions with their supply chain constraints.

Costis Maglaras is the 16th Dean of Columbia Business School, and the David and Lyn Silfen Professor of Business at Columbia University. Costis received his BS in Electrical Engineering from Imperial College, London, in 1990, and his MS and PhD in Electrical Engineering from Stanford University in 1991 and 1998, respectively. He joined Columbia Business School in 1998, when he joined the Decision, Risk and Operations Division.

Ciamac C. Moallemi is the William Von Mueffling Professor of Business in the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University, where he has been since 2007. He also develops quantitative trading strategies at Bourbaki LLC, a quantitative investment advisor. A high school dropout, he received S.B. degrees in Electrical Engineering & Computer Science and in Mathematics from the Massachusetts Institute of Technology (1996).

Hongseok Namkoong is an Assistant Professor in the Decision, Risk, and Operations division at Columbia Business School. His research and teaching interests lie at the interface of operations research, machine learning, and statistics. In particular, his research develops reliable machine learning methods for decision-making problems.

Nicola is an assistant professor in Decisions, Risk and Operations, working on industrial organization. He received his Ph.D. in Economics from Harvard University in 2021.

Professor Medini Singh joined Columbia Business School in 2001 as a member of the Decision, Risk, and Operations Division.   He teaches a variety of courses in Columbia’s MBA and Executive MBA programs, including the core course in Operations Management and electives in Supply Chain Management, Operations Strategy, and Service Operations Management.

Garrett van Ryzin is the Paul M. Montrone Professor Emeritus of Decision, Risk, and Operations at the Columbia University Graduate School of Business. In 2015, he joined Uber Technologies as Head of Marketplace Optimization Advanced Development. In 2017, he became Professor of Operations, Information and Technology Management at Cornell Tech.

Assaf Zeevi is Professor and holder of the Kravis chair at the Graduate School of Business, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning. In particular, he has been developing theory and algorithms for reinforcement learning, Bandit problems, stochastic optimization,  statistical learning and stochastic networks. Application domains include online retail platforms, healthcare analytics, dynamic pricing engines, recommender systems, and social learning in online marketplaces. 

Professor Zheng teaches the MBA core class Operations Management and the PhD class Introduction to Econometrics and Statistical Inference.  Her research focuses on industrial organization, applied econometrics, and the interface between economics and operations management.