42 faculty and 19 courses in Operations Research at Cornell University.
- Huseyin Topaloglu, Program Director, Cornell Tech; Eleanor and Howard Morgan Professor h-index 40
One line of research pursued by Professor Topaloglu deals with operations management models that incorporate customer choices. In many settings, including online retail, customers are offered a variety of choices among which they make a cho
Notable: “Assortment Optimization Under Variants of the Nested Logit Model” (2014) · 324 citations
- Linwei Xin, Associate Professor h-index 16
Notable: “Asymptotic Optimality of Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems” (2017) · 104 citations
- Brenda Dietrich, Geoffrion Family Professor of Practice h-index 15
Brenda Dietrich has studied combinatorial duality, mathematical optimization, and resource allocation. She has applied optimization, simulation, statistics, and machine learning in multiple industries. She prefers to apply OR to physical sy
- Kathryn Caggiano, Associate Dean for M.Eng. Programs; Professor of Practice h-index 4
Kathryn’s interests focus on developing practical mathematical models and solution approaches to enable better decision making in large-scale production and distribution systems. Companies she has worked with include Verizon Wireless
Notable: “Efficient computation of time-based customer service levels in a multi-item, multi-echelon supply chain: A practical approach for inventory optimization” (2008) · 67 citations
- Adrian Lewis, Samuel B. Eckert Professor of Engineering
Professor Lewis’s research concerns the interplay between the mathematical theory of variational analysis and its practical application to concrete models in science and engineering, including the design and analysis of computational
- Andrea Lodi, Andrew H. and Ann R. Tisch Professor
In mixed-integer linear and nonlinear programming and data science and his work has received several recognitions including the IBM and Google faculty awards. He is the author of more than 100 publications in the top journals of the fie
- Andreea Minca, Professor
Es on mathematical modeling in finance, within the areas of systemic risk, liquidity risk and credit risk. She is particularly interested in structural models for systemic risk, using networks to represent various types of interrelations am
- Christina Lee Yu, Assistant Professor
Algorithm design and analysis, high dimensional statistics, inference over networks, sequential decision making under uncertainty, online learning, and network causal inference. Research Interests Her research interests include algo
- David Alan Goldberg, Associate Professor
Goldberg’s research is in applied probability and stochastic processes, on topics including optimal stopping, inventory and queueing models, combinatorial optimization, and robust optimization. He uses tools from probability to develo
- David B. Shmoys, Laibe/Acheson Professor of Business Management
Shmoys has made fundamental contributions to the area of approximation algorithms for discrete optimization problems, having given the first constant-performance guarantees for a wide range of problems in scheduling, clustering, and supply
- David Ruppert, Andrew Schultz Jr. Professor in Industrial Engineering
Es on astrostatistics, neuroscience, measurement error models, splines, functional data analysis, semiparametric regression, and environmental statistics. He has published over 130 articles in refereed journals and has published five books
- David Williamson, Director of the School; Class of 1912 Professor
Es on finding efficient algorithms for hard discrete optimization problems, with a focus on approximation algorithms for problems in network design, facility
- Eric Lewis Gentsch, Director, M.Eng. Program; Professor of Practice
- Frans Schalekamp, Teaching Professor
Frans’s research interests lie in optimization, both in practice and theory. He has worked on problems in bioinformatics, sensor networks and information science. His interest in theoretical aspects of optimization is focused in parti
- Gennady Samorodnitsky, Associate Director, Undergraduate Studies; Professor
His research interests lie both in probability theory and in its various applications. A very important area is that of stochastic modeling, and he is especially interested in “non-standard” models, in particular those exhibitin
- Jamol J. Pender, Associate Director, Graduate Studies; Associate Professor
Queueing theory, applied probability, Markov processes, control theory, and mathematical finance. Research Interests Health Systems Transportation Applied Probability Financial Engineering Statistics and Machine Learning Transportat
- Jessica Rush Leeker, Professor of Practice
Dr. Rush Leeker’s research is driven by her commitment to integrating data science and applied analytics into socially impactful projects, with an emphasis on accessibility and inclusivity. Her interests include: Data-Driven Decision
- Jim Dai, Leon C. Welch Professor of Engineering
Jim Dai studies applied probability models for efficient resource allocations in processing networks that model service systems such as customer
- Johannes Wissel, Professor of Practice
- Kyra Gan, Assistant Professor
Adaptive/online algorithm design in personalized treatment (including micro-randomized trials and N-of-1 trials) under constraint settings, computerized/automated inference methods (e.g., targeted learning with RKHS), robust causal
- Marcos López de Prado, Visiting Professor
- Marie Chazal, Lecturer
Mathematical economics, financial mathematics and study of stochastic processes. Select Publications Chazal, M., A.E. Kyprianou, P. Patie. 2015. “On some new transformations of Laplace exponents of spectrally negative Lévy processes
- Mark Lewis, Maxwell M. Upson Professor of Engineering
Broadly speaking Professor Lewis is interested in dynamic control of service systems. Most often he uses the methodology of stochastic dynamic programming or Markov decision processes to analyze these problems. Along the way he has done fun
- Martin Wells, Charles A. Alexander Professor of Statistical Sciences
Bayesian Analysis Clinical Trials Graphical Models High-dimensional Statistics Machine Learning Model Selection Statistical Genetics
- Nathan Kallus, Associate Professor
- Nikhil Garg, Assistant Professor
Data Science
- Nikita Doikov, Assistant Professor (Spring 2026)
His research is in optimization algorithms and their applications in machine learning and AI. In particular, he focuses on provably efficient methods that exploit problem structure, such as second-order information, model landscapes, and st
- Omar El Housni, Assistant Professor
- Paul Gölz, Assistant Professor
- Peter Frazier, Eleanor and Howard Morgan Professor of Engineering
Professor Frazier works in sequential decision-making under uncertainty and machine learning, focusing on problems where information is acquired over time. Behaving optimally in such problems is also known as optimal learning. He works on a
- Pierre Patie, Associate Professor (on leave)
Lie in the study of stochastic processes and their applications in financial and insurance mathematics, with an emphasis to Markov processes and their connections to functional analysis. Research Interests Professor Patie works on problems
- Raaz Dwivedi, Assistant Professor
His research involves a multi-disciplinary approach to data science and brings together ideas from computer science, electrical engineering, and statistics in collaboration with domain experts. His research develops statistical machine lear
- Robert A. Jarrow, Ronald P. & Susan E. Lynch Professor
Applied Probability Financial Engineering Duffield Engineering is a highly collaborative and dynamic intellectual community known for maintaining all-around excellence in educating students, pursuing groundbreaking research, and advancing t
- Sasha Stoikov, Senior Research Associate
His research is in market microstructure, market incompleteness and their impact on the optimal strategies of stock and option traders. In particular, his quantitative finance research focuses on models of volatility, dynamics of limit orde
- Shane G. Henderson, Charles W. Lake, Jr. Professor in Productivity
My primary research interests lie in the interplay between optimization and simulation. In particular, I am interested in structured simulation optimization, where the optimization problem enjoys certain properties, like convexity or quasi
- Shoham Sabach, Associate Professor
Es on mathematical optimization, spanning both theoretical foundations and applications in areas such as machine learning, data science, and artificial intelligence. Prior to Cornell, he was an associate professor on the faculty of Data and
- Sid Banerjee, Associate Professor
His research focuses on stochastic modeling, and the design of algorithms and incentives for large-scale systems. He is interested in settings where a large number of agents interact, either through a communication or social network, or via
- Soroosh Shafiee, Assistant Professor
His research interests revolve around optimization under uncertainty, low-complexity decision-making and optimal transport. Most of his works fall into one of the following categories: Designing new models and algorithms based on (distribut
- Éva Tardos, Jacob Gould Schurman Professor; Professor of Computer Science
- Victoria Averbukh, Director, Cornell Financial Engineering; Manhattan Professor of Practice
Victoria’s research focuses on financial modeling within area of fixed income and Mortgage-Backed Securities in particular. Teaching Interests Victoria’s courses emphasize practical and transaction-oriented approach to valuation and pricing
- Yuchen Wu, Assistant Professor
- Ziv Scully, Assistant Professor
Ziv researches the theory of decision making under uncertainty, including stochastic control, resource allocation, and performance evaluation. A particular emphasis of his work is scheduling and load balancing in queueing systems, as motiva
Roster/catalog compiled from the college’s public directory. Faculty counts are directory headcounts; the named list may be a subset. h-index shown only for ORCID-backed or high-confidence OpenAlex matches. Data as of 2026-07-02.