headshot of Huiwen Jia

Research Bio

Huiwen Jia's research focuses on stochastic and robust optimization, machine learning, and online learning algorithms with applications in transportation and revenue management. She also has a particular interest in sustainable service system design.

She is an assistant professor in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. She received her Ph.D. from the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, and her B.S. in Industrial Engineering from Tsinghua University. Before joining Berkeley IEOR, she was an Applied Scientist at Amazon working on two-sided online marketplace design.

Research Expertise and Interest

stochastic and robust optimization, machine learning, online learning algorithms, transportation, revenue management, service system design

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Service Operations Design and Analysis  [INDENG 151]  

  • Individual Study or Research  [INDENG 299]  

2025 Fall
  • Production Systems Analysis  [INDENG 150]  

  • Introduction to Production Planning and Logistics Models  [INDENG 250]  

  • Individual Study or Research  [INDENG 299]  

2025 Summer
  • Individual Study or Research  [INDENG 299]  

2025 Spring
  • Service Operations Design and Analysis  [INDENG 151]