Teaching and Mentoring

Teaching

• November 2025: Guest Lecture in 15.081 Introduction to Mathematical Programming
  • Topic: Large-Scale Linear Programming Using the Primal-Dual Hybrid Gradient Method.
• Winter 2024: 15.S60 Computing in Optimization and Statistics
  • Instructor for the advanced optimization sessions of a computing course during MIT January Independent Activities Period. The duties include designing lectures, creating teaching materials, and giving lectures.
  • Jupyter Notebook 1 Jupyter Notebook 2
• Fall 2022 and Fall 2023: 15.081 Introduction to Mathematical Programming (Teaching score: 6.8/7 feedback)
  • Head TA for the MIT’s doctoral introductory optimization course (for ORC and other MIT PhD programs)
  • Recitation Notes Recitation Solutions (Permission Required)
  ⭐ I was voted as the "Best TA" in the ORC Superlatives voting in 2023 (photo) ⭐ "Best TA" again in 2024 (photo)
• Spring 2022: 15.071 The Analytics Edge (Teaching score: 6.4/7 feedback)
  • TA for MBA course in business analytics at Sloan School of Management.
• Online Course in Data Science and Business Analytics
  • Designed course materials of a new online course in data science and business analytics.
  • Supervisor: Robert Freund

Mentoring

I informally mentored several students on research projects.

• Zhenwei Lin – PhD student, Shanghai University of Finance and Economics (later became a postdoctoral researcher at Purdue University)
• Qiushi Han – Undergraduate, UIUC (later joined the PhD program at MIT)
• Chenghan Xie – Undergraduate, Fudan University (later joined the PhD program at Stanford)
• Jiacheng Guo – Undergraduate, Fudan University (later joined the PhD program at Princeton)
• Chengwenjian Wang – Undergraduate, Fudan University (later joined the Master program at ETH Zürich and the PhD program at the University of Minnesota Twin Cities)