Experiences
Teaching
UC Berkeley
IEOR 253/CEE 258 Supply Chain and Logistics Management (MS and PhD Major; Co-Instructor)
Teaching evaluation: 4.75/5.00 (IEOR 253, department average 4.22), 5.00/5.00 (CEE 258)
IEOR 242 Applications in Data Analytics (M.Eng/M. Analytics Core; Graduate Student Instructor)
IEOR 172 Probability and Risk Analysis for Engineers (Undergraduate; Reader)
Academic Services
Session Chair of “Innovation and algorithm advances in online marketplace”, INFORMS, 2022
Reviewer for:
Management Science
NeurIPS 2022 Workshop on RL for Real Life
NeurIPS 2022 Workshop on Progress and Challenges in Building Trustworthy Embodied AI
Industry
Uber
Data Science Intern @ Uber Eats Marketplace (Summer 2020)
Worked on demand modeling and delivery fee optimization based on large-scale pricing data;
Proposed a delivery fee optimization framework launched in the US market;
Developed automated demand modeling pipeline for delivery fee optimization.