Notes and Teaching

Research notes

I keep a set of notes on material that I use in my research, find interesting, or think others might benefit from. I also update these notes from time to time. Feel free to reach out if you spot any errors, find these useful, or have any suggestions on future topics.

• General math tools
• Deep Learning
• Statistics
• Analytics
• Probability
• Stochastic Differential Equations
• Optimization

Classes taught

Teaching in probability and statistics

• Graduate Teaching Assistant — Modern Mathematical Statistics (6.7730) (Sept 2025 – Dec 2025)
  • Held weekly office hours, graded assignments, helped produce lecture notes for class of ~25 students taught by Prof. Stephen Bates
  • Covered statistical decision theory and fundamentals uncertainty modeling
  • Topics include optimal estimation, hypothesis testing, and Bayesian versus minimax optimality
• Instructor — Intermediate Probability (6.S095) (Dec 2021 – Present)
  • Student-run for-credit class supervised by Prof. Guy Bresler covering probabilistic methods
  • ~120 total annual enrollment; average rating 6.9 / 7.0
• Grader — Combinatorial Analysis (18.211) (Sep 2023 – Dec 2023)
  • Graded assignments for advanced undergraduate combinatorics (Prof. Michael Simkin)

Teaching in optimization

• Undergraduate Teaching Assistant — Optimization Methods (15.053) (Feb 2023 – Jun 2023)
  • Led weekly recitations for a class of ~50 students, taught by Prof. James Orlin
  • Received an average rating of 6.9 / 7.0
• Instructor — Optimization in Graph Theory (Jun 2022 – Aug 2022)
  • Self-organized MIT summer course on applications of optimization methods to graph-theoretic problems
  • Covered algorithms for problems such as graph coloring, shortest paths, and maximum independent sets