Evelyn Xiao-Yue Gong

B P Junior Faculty Chair

Assistant Professor

Hello. I am B P Junior Faculty Chair and Assistant Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. Prior to joining Tepper, I completed my PhD in Operations Research at MIT.

My main research lies in artificial intelligence for supply chain and sustainability. I am also interested in assortment optimization, pure exploration, algorithms and data-driven decision making in general.

Research

(2026) Evelyn Xiao-Yue Gong, Michael Johnson How Not to Overpackage: AI for Sustainability in HelloFresh's Service Supply Chain.
Major Revision at Manufacturing & Service Operations Management.
Second Place at 2025 INFORMS Service Science Best Paper Award (Socially Responsible Track).

Preprint

(2025) Rui Peng Liu, Konstantina Mellou, Evelyn Xiao-Yue Gong, Beibin Li, Thomas Coffee, Jeevan Pathuri, David Simchi-Levi, Ishai Menache Efficient Cloud Server Deployment Under Demand Uncertainty.
Published in Manufacturing & Service Operations Management, 27(2), 2025. pp. 425-440.

Publication

(2023) Xiao-Yue Gong, David Simchi-Levi Bandits Atop Reinforcement Learning: Tackling Online Inventory Models With Cyclic Demands.
Published in Management Science, 70(9), 2024. pp. 5627-6482.
Honorable Mention for the 2025 INFORMS Computing Society Harvey J. Greenberg Award.

Publication

(2021) Xiao-Yue Gong, Vineet Goyal, Garud N Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang Online Assortment Optimization with Reusable Resources.
Published in Management Science, 68(7), 2022. pp. 4772-4785.
Spotlight Talk at the 2021 INFORMS Revenue Management & Pricing Section Conference.

Publication

(2023) Evelyn Xiao-Yue Gong, Mark Sellke Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits.
Accepted at Neural Information Processing Systems (NeurIPS).

Proceedings ArXiv

(2021) Jim Orlin, Xiao-Yue Gong A Fast Maximum Flow Algorithm.
Published in Networks, Nov 2020.
Published in Special Issue on Celebrating 50 Years of Networks: Part 2.

Publication

(2020) Xiao-Yue Gong, David Simchi-Levi Provably More Efficient Q-Learning in the One-Sided-Feedback/Full-Feedback Settings.
Accepted in ICML Workshop (Theoretical Foundations of Reinforcement Learning), July 17, 2020.

Website

(2018) Yiming Zhang Quan Vuong Kenny Song Xiao-Yue Gong, Keith Ross Efficient Entropy For Policy Gradient with Multi-Dimensional Action Space.
Accepted in ICLR Workshop.

Website

Professional Services

Reviewer for Management Science, Operations Research, Manufacturing & Service Operations Management, Mathematics of Operations Research and others.

Reviewer for the 2026 Supply Chain Management (SCM) SIG Conference.

Reviewer for NeurIPS 2025.

Reviewer for the 26th Conference on Integer Programming and Combinatorial Optimization (IPCO 2025).

Reviewer for INFORMS MSOM 2025 SIG Conference.

Committee Member for 2025 INFORMS Public Sector Operations Research Best Paper Award.

Committee Member for 2024 INFORMS Service Science Best Student Paper Award.

Judge for 2024 CSAMSE Best Paper Competition.

Reviewer for INFORMS MSOM 2024 Sustainable Operations SIG Conference.

Session Chair for INFORMS Annual Meeting 2024.

Session Chair for INFORMS Annual Meeting 2023.

Session Chair for INFORMS Annual Meeting 2021.

Awards

CIB AI Fellow Award at Carnegie Mellon University Tepper School of Business 2025-2026.
Honorable Mention for the INFORMS Computing Society Harvey J. Greenberg Award at 2025 INFORMS Annual Meeting.
Second Place for the INFORMS Service Science Best Paper Award (Socially Responsible Track) at 2025 INFORMS Annual Meeting.
China's National Championship in Splendor (original version) hosted by Hunter Board Game Club, 2024
First Place in the Best Dissertation Competition, Supply Chain Management in the Post-Pandemic and AI Age Conference, 2023
Recipient, Accenture Fellowship, 2022 - 2023
Bayer Women in Operations Research Scholarship Recipient, INFORMS Analytics Society, 2021
Best Presentation Award, MIT LIDS Student Conference, 2019
Grand Prize, MIT Lockheed Martin Tech for Truth Hackathon (Supply Chain Track), 2019
Winner, MIT IDEAS Global Challenge, 2018
ARCC Best Social Good Hack Prize, MIT Bitcoin Hackathon, 2018
NYU Shanghai Provost’s Award, NYU Shanghai, 2017
Summa Cum Laude, New York University, 2017
NYU President’s Service Award, New York University, 2016
Resolution Fellowship, Resolution Project at Youth Assembly at the United Nations Headquarters, 2016
Best Venture, NYU Reynolds Changemaker Challenge, 2015