Teaching Statement

My main motivation for pursuing a career in academia instead of industry is that I love teaching and interacting with students.

Courses @ShanghaiTech

• Reinforcement Learning (Graduate, Spring 2020, 2021, 2022, Spring 2025)

• Probability and Mathematical Statistics for EECS (Undergraduate, Fall 2022, Spring 2023, Fall 2023, Spring 2024Fall 2024)

• Probability and Mathematical Statistics (Undergraduate, Fall 2017, 2018, 2019, 2020, 2021)

• Probability and Stochastic Processes (Graduate, Fall 2014, 2015, 2016, 2017, 2018)

• Computer Networks (Undergraduate, Fall 2016)

• Computer Networks (Graduate, Spring 2016)

• Algorithmic Paradigms for Network Optimization (Graduate, Spring 2014, 2015)

Teaching Project

• Course Development on ‘‘Reinforcement Learning’’, Google Faculty Teaching Grant 2019-2020.

Teaching for Extracurricular Activity

From 2017 to 2019, I put many efforts on supporting students attending mathematical modeling contests. As a faculty advisor, I am so proud that our students made great achievements in such contests under my guidance:

• First Prize of the fourteenth China Post-Graduate Mathematical Contest in Modeling (CPMCM 2017), ranked top ten out of 10468 teams.

• One Outstanding Award (also ASA Data Insights Award) of MCM/ICM (Mathematical Contest in Modeling and Interdisciplinary Contest in Modeling) 2019.

• Five Meritorious Awards of MCM /ICM from 2017 to 2019.