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Businesses and organizations of all shapes and sizes use models to understand and improve the performance of their operations. For example, online retailers use models to quantify the impact of different order fulfillment policies. On-demand transportation systems use models to make better decisions on how to assign passengers to drivers. Fintech companies use models to make automated trading decisions on millisecond time scales.

The data & modeling group at Cornell Tech includes quantitative researchers with backgrounds in computer science, electrical engineering, business, and operations research, developing models for decision-making problems in a variety of areas including logistics, retail, marketing, biotech, finance, and healthcare. Their work involves building models to automate decision-making processes, designing algorithms to efficiently solve these models, and using statistics and machine learning techniques to make predictions.

Our research group works with a number of large tech companies and startups. Through such interactions, we are able to play a leading role in implementing the next generation of sophisticated models in practice, while having the opportunity to find out about research problems that are of critical interest to the industry.




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Huseyin Topaloglu

Huseyin Topaloglu is a Professor of Operations Research and Information Engineering at Cornell Tech and Cornell University. Professor Topaloglu’s group works on assortment planning problems in online retail operations. Online retailers have the opportunity to customize the product assortment that is offered to each individual customer. The challenge is to use data from past purchases to understand how each customer would make a choice among the products offered to them, and use this information to decide which assortment of products to offer to a customer landing on a website. The work involves integrating ideas from econometrics and psychology to build models of the customer choice process and developing combinatorial optimization techniques to choose the right product assortment to offer.


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Vikram Krishnamurthy

Vikram Krishnamurthy is a Professor of Electrical & Computer Engineering at Cornell University and Cornell Tech. Professor Krishnamurthy’s group works on statistical signal processing and controlled sensing problems. The fundamental ideas revolve around Bayesian inference, stochastic optimization and game theory. The applications of the research are in three areas. The first application area is in smart adaptive radar tracking systems where the radar system can adapt its behavior in real time using feedback control, and where natural language processing models are used to determine anomalies in target trajectories. The second application area is in understanding how social sensors (human decision makers) interact and influence each other over a social network. This involves related ideas in behavioral economics and revealed preferences, information fusion and is backed up by real-world data from YouTube and psychometric experiments. The final application area is in modeling and controlling the dynamics of artificial cell membranes and nano-scale molecular machines/sensors built out of such membranes.


Karan Girotra

Karan Girotra is a Visiting Professor of Operations, Technology and Information Management at Cornell Tech and Cornell University. Karan collaborates with companies building new business models in the areas of urban living, smart transportation and e-commerce, helping them build rigorous research based solutions. Karan’s research team has been recognized by multiple awards including the prestigious Wickham Skinner Early Career Research Award and multiple best paper awards. He has also won teaching awards for his teaching on entrepreneurship and new business models and was featured in the Poets and Quant’s Best 40 under 40 business professors lists.

In addition to his academic work, Karan was one of the founders of Terrapass Inc., which the New York Times identified as one of the most noteworthy ideas of 2005. Since then, TerraPass has helped businesses and individuals reduce over hundred million tons of carbon dioxide emissions. Karan holds PhD and AM degrees from the Wharton School of the University of Pennsylvania, and a Bachelor degree from the Indian Institute of Technology, Delhi.

Garrett van Ryzin

Garrett van Ryzin is Professor of Operations, Technology and Information Management at Cornell Tech and Cornell University, Johnson School. Garrett received a B.S.E.E. degree from Columbia University, and the degrees of S.M. in Electrical Engineering and Computer Science and Ph.D. in Operations Research from MIT. He joined Cornell Tech in 2017. van Ryzin’s research focuses on algorithmic pricing, demand modeling and estimation, stochastic optimization and the interface of operations and economics. He has extensive consulting experience in pricing analytics in established industries as well as technology startups.

Prior to joining Cornell Tech, van Ryzin was on the faculty of Columbia Business School and served as Division Chair of the Decision, Risk and Operations Division from 2010-2015. Since 2015, he has been on academic leave working as Head of Marketplace Optimization Advanced Development at Uber Technologies. He is coauthor of the leading scientific book on revenue management, The Theory and Practice of Revenue Management, which won the 2005 Lanchester prize for the best published work in operations research. He is an INFORMS and MSOM Fellow, recipient of the INFORMS Impact Award and has served as Editor in Chief of Manufacturing & Service Operations Management from 2003-2005 and Area Editor for Operations Research 1999-2002 (Service and Supply Chain Operations), 2006-2012 (Revenue Management).