UC Berkeley 

• IEOR 253/CEE 258 Supply Chain and Logistics Management (Co-Instructor; Spring 2021) 

• IEOR 242 Applications in Data Analytics (Graduate Student Instructor; Spring 2019, Fall 2019, Fall 2020) 

• IEOR 172 Probability and Risk Analysis for Engineers (Reader; Fall 2018)

Session Chair/Co-chair:

• "Efficient Learning Methods and Revenue Management Applications", INFORMS, 2024

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

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

Ad-hoc Reviewer:

• Journal: Management Science (MS), Operations Research (OR), Manufacturing & Service Operations Management (M&SOM), Production and Operations Management (POM)

• Conference: 2026 MSOM SIG and main conference, 2024 MSOM SIG conference, 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.