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), Manufacturing & Service Operations Management (M&SOM), Production and Operations Management (POM)

• Conference: 2024 MSOM Sustainable Operations 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.