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)

Session Chair/Co-chair:

• "Machine Learning and Analytics for Revenue Management", POMS, 2024

• “Innovation and algorithm advances in online marketplace”, INFORMS, 2022

Ad-hoc Reviewer:

• Management Science, M&SOM, POM

• NeurIPS 2022 Workshop on RL for Real Life

• NeurIPS 2022 Workshop on Progress and Challenges in Building Trustworthy Embodied AI

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.