Yiqi Yang

Email: a.ogho1hbegnct@yy1oaduc3i unscramble

I am a first-year PhD student in Operations Management at the University of Chicago Booth School of Business. I am broadly interested in how information, learning, and optimization interact in decision-making under limited or biased data. My work so far has focused on discrete choice and assortment optimization, and I am open to a wide range of problems at the interface of operations, statistics, and AI.

Prior to my PhD, I received my bachelor’s degree from Shanghai Jiao Tong University. As an undergraduate, I had the pleasure of working with Prof. Rui Gao, Prof. Shuang Li, and Prof. Chonghuan Wang. Their mentorship and guidance shaped my research interests and encouraged me to pursue doctoral study.

📖 Educations

• Chicago Booth, PhD in Operations Management
  2026 – Present
• Shanghai Jiao Tong University (SJTU), Bachelor of Engineering
  Sep 2022 – Jun 2026
  
  • Exchange semester at University of Texas at Austin, Fall 2025 (ECE)

📝 Publications

• “Reproducing Kernel Hilbert Space Choice Model” SSRN
  Yiqi Yang, Zhi Wang, Rui Gao, Shuang Li
  26th ACM Conference on Economics and Computation (EC’25)
  A longer version is in preparation for journal submission.

  • Invited talk: INFORMS Annual Meeting 2025 (Undergraduate OR Prize Finalist Session), Atlanta

🧩 Work in Progress

• “Pessimistic Learning Under Partial Logging for Model-free Assortment Optimization”
  Yiqi Yang, Rui Gao, Shuang Li

  • Invited talk: INFORMS Annual Meeting 2026 (Artificial Intelligence and Robust Optimization), San Francisco

🎖 Honors and Awards

• 2025.10 Finalist, INFORMS Undergraduate Operations Research Prize (Top 8 worldwide).
• 2024.12 China National Scholarship (0.2% domestically).
• 2024.10 Academic Excellence Scholarship (Top 2% SJTU).
• 2024.7 Special Prize, 19th National IE Application Case Competition, Tsinghua University(Top 3 teams nationwide).
• 2023.12 SAIC-GM Wuling Scholarship
• 2022.12 Zhiyuan Honorary Sholarship(Top 5%, SJTU)