Teaching Experience

Teaching Asssistant, Stanford University:

• Reinforcement Learning: Frontiers, MS&E 338.
• Reinforcement Learning: Behaviors and Applications, EE277.
• Fundamentals of Data Science: Prediction, Inference, Causality, MS&E 226.
• Convex Optimization I, EE 364A.
• Introduction to Game Theory and Market Design, MS&E 232.
• Probabilistic Analysis, MS&E 120.

Guest Lecturer, Stanford University:

• Reinforcement Learning: Frontiers, MS&E 338.

Tutor, Stanford University, Office of Accessible Education

• Introduction to Stochastic Modeling, MS&E 121.

Tutor, Massachusetts Institute of Technology, Disability and Access Services

• Introduction to Probability and Statistics, 18.05.

Professional Service

I was a reviewer for: ICML 2022 2023, NeurIPS 2022 2023, AISTATS 2023.

Outreach

• Stanford Graduate Society of Women Engineers (GradSWE), Secretary & Professional Development Chair, 2021-23.
• Stanford Women in Math Mentoring (SWIMM), Mentor, 2022-23.
• Stanford Office of Accessible Education, Tutor.
• MIT Undergraduate Society for Women in Mathematics (USWIM), Secretary & Webmaster.
• MIT Disability and Access Services, Tutor.