Shuo Sun

I am a fifth-year Ph.D. candidate in the Department of Industrial Engineering and Operations Research (IEOR) at UC Berkeley, advised by Professors Zuo-Jun Max Shen and Rajan Udwani. Before that, I received my B.E. in Industrial Engineering from Tsinghua University in China in 2021.
I am on the 2025-2026 academic job market!
Preprints and Publications
- A Markovian Approach for Cross-Category Complementarity in Choice ModelingIn preparation for submission
Presented at 2025 INFORMS RMP conference, - A Unified Algorithmic Framework for Dynamic Assortment Optimization under MNL ChoiceMajor revision in Operations Research,Extended Abstract in 2025 ACM Conference on Economics and Computation
Finalist, 2024 INFORMS RMP Jeff McGill Student Paper Award
Honorable mention, 2025 POMS-HK Best Student Paper Competition - JD.com Improves Fulfillment Efficiency with Data-driven Integrated Assortment Planning and Inventory AllocationTo Appear in INFORMS Journal on Applied Analytics,Winner of 2024 INFORMS Daniel H. Wagner Prize
- Online MDP with Prototypes Information: A Robust Adaptive ApproachProceedings of the 39th AAAI Conference on Artificial Intelligence, 2025
Honors and Awards
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Honorable mention, POMS-HK Best Student Paper Competition, 2025
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Winner, INFORMS Daniel H. Wagner Prize, 2024
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Finalist, INFORMS RMP Jeff Mcgill Best Student Paper Award, 2024
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IEOR Ph.D. First-year Fellowship, 2021-2022
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Finalist, INFORMS Undergraduate OR Prize, 2020
Invited Talks
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A Markovian Approach for Cross-Category Complementarity in Choice Modeling
INFORMS RMP 2025, INFORMS Annual Meeting 2025
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A Unified Algorithmic Framework for Dynamic Assortment Optimization under MNL Choice
POMS-HK 2025, INFORMS RMP 2024, INFORMS Annual Meeting 2023
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JD.com Improves Fulfillment Efficiency with Data-driven Integrated Assortment Planning and Inventory Allocation
INFORMS Analytics 2024 (Award Session)
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Online MDP with Prototypes Information: A Robust Adaptive Approach
ISMP 2024, AAAI 2025 (poster presentation)
Services
Reviewer for Management Science, Operations Research, Manufacturing and Service Operations Management, MSOM SIG