About Me

I am a fifth-year Ph.D. candidate in Operations Research at Cornell University, advised by Professor Huseyin Topaloglu at Cornell Tech. Previously, I obtained my B.S. in Mathematics and Applied Mathematics from Zhiyuan Honors Program at Shanghai Jiao Tong University in 2020.

My current research interests lie in the areas of developing efficient approximation algorithms for revenue management and assortment optimization problems, with applications in online marketplaces and the sharing economy.

Publications 

• Performance Guarantees for Network Revenue Management with Flexible Products

Wenchang Zhu & Huseyin Topaloglu, M&SOM.

Working Papers

• A Unified Framework to Impose Market Share Constraints for Selected Product Classes: Randomized and Deterministic Assortments under the Multinomial Logit Model

Wenchang Zhu, Paat Rusmevichientong & Huseyin Topaloglu

• Optimizing Library Usage and Browser Experience: Application to the New York Public Library

Zhi Liu, Wenchang Zhu, Sarah Rankin & Nikhil Garg

Talks

"Assortment Optimization with Market Share Constraints under the Multinomial Logit Model'' 

• INFORMS Annual Meeting, October 2024

"Revenue Management with Flexible Products"

• INFORMS Annual Meeting, October 2024, 2023 & 2022

• INFORMS Revenue Management and Pricing Section Conference, June 2022

Teaching

• CS/INFO 5304:  Data Science in the Wild, Cornell Tech, Spring 2025 & Spring 2024 (TA).

• ORIE 5380:  Optimization Methods, Cornell Tech, Fall 2024 & Fall 2023 (TA).

• ORIE 5132:  Pricing Analytics and Revenue Management, Cornell Tech, Spring 2023 (TA).

• ORIE 5530:  Modeling Under Uncertainty, Cornell Tech, Fall 2022 (TA).

• ORIE 5129:  Data Science for e-Retail and the Sharing Economy, Cornell Tech, Spring 2022 (TA).

Industrial Experience

• Research Scientist II Intern: Supply Chain Optimization Technologies (SCOT), Amazon, May 2024 - Aug. 2024.

• Research Scientist II Intern: Supply Chain Optimization Technologies (SCOT), Amazon, May 2023 - Aug. 2023.