Hi, I’m a graduate student at the University of Chicago pursuing an MS in Applied Data Science, with a background in Financial Mathematics.

My research interest includes Machine Learning optimization, computational mathematics, Agentic AI, computational pathology, medical image.

Education Background

• Beijing Normal – Hong Kong Baptist University (Zhuhai, China)
  • B.S. in Financial Mathematics (09/2020–06/2024)
  • Advisor: Dr. Zhefang ZHOU
  • Previous School Name: Beijing Normal University-Hong Kong Baptist University United International College(UIC)
• University of Chicago (Chicago, IL)
  • M.S. in Applied Data Science (Expected 12/2025)
  • Advisor: Dr. Utku Pamuksuz
• University of Oxford (Online)
  • Summer School: Artificial Intelligence and Machine Learning (08/2022)

Research Experience

• (Ongoing) Accelerating Adaptive Algorithms At Scale through Reparameterization
  • Supervisor: Prof. Rebecca Willett
  • The University of Chicago
• (Ongoing) Deep Assortment Optimization
  • Supervisor: Prof. Rui Gao
  • The University of Texas at Austin
• (Published) Analyst Reports and Stock Performance: Evidence From the Chinese Market
  • Supervisor: Dr. Yujia HU
  • Beijing Normal – Hong Kong Baptist University

You can find my CV here: Jiayou Liang’s Curriculum Vitae

Email / Github