About Me

I am a fifth-year Ph.D. candidate in Operations Research at Cornell University, advised by Professor Huseyin Topaloglu at Cornell Tech. I obtained a B.S. in Operations Research and Financial Engineering from Columbia University and B.A. in Mathematics from Carleton College. 

I am broadly interested in decision-making under uncertainty, where my goal is to develop optimization models and algorithms to tackle a wide range of operational problems.  I am incredibly fortunate to have worked with the New York City Department of Environmental Protection as part of the PiTech PhD Fellowship during the Summer of 2024. 

I am on the 2025-2026 job market! My INFORMS Job Market Showcase talk will be at Building A Level 3 A312, Monday, October 27, 4:33 PM - 4:51 PM 

Working Papers

Names are in Alphabetical Order

Choice Modeling, Assortment Optimization, and Estimation when Customers are Non-rational: Multinomial Logit Model with Non-parametric Dominance

• Dmitry Mitrofanov, Huseyin Topaloglu, Yuheng Wang

• Submitted to Management Science

Assortment Optimization under Replacement Options for Online Retail with Stockout Risk

• Dmitry Mitrofanov, Huseyin Topaloglu, Yuheng Wang

• Major Revision at Operations Research

• Finalist for the 2025 CSOM Best Student Paper Competition

Journal Publications 

• Edge Disjoint Caterpillar Realizations

István Miklós, Geneva Schlafly, Yuheng Wang, Zhangyang Wei, Discrete Applied Mathematics

Talks

"Assortment Optimization under Replacement Options for Online Retail with Stockout Risk"

• INFORMS Annual Meeting, October 2024

• INFORMS MSOM 2024, June 2024

Awards

• Siegel Family Endowment PiTech PhD Impact Fellowship

• Professor Robert E. Bechhofer Fellowship

• Columbia University Sebastian B. Littauer Award

Teaching

• INFO 5375: Machine Learning for Health, Spring 2025 (TA)

• ORIE 5380: Optimization Methods, Fall 2024 (TA)

• ORIE 3120: Practical Tools for OR, ML and DS, Spring 2022, 2023, 2024 (Head TA)

• ORIE 4580: Simulation, Fall 2023 (TA)

• ORIE 4630: OR for Financial Engineering, Fall 2022 (TA)