I believe students learn best by actively applying concepts rather than passively consuming them. My teaching emphasizes hands-on projects, real-world problem solving, and iterative experimentation, encouraging students to build intuition through doing as much as through listening.
Visiting Lecturer, Cornell Tech — Machine Learning Engineering (Spring 2025) — Cornell Tech, Cornell University
Head TA of Reinforcement Learning (CS234), Prof. Emma Brunskill — Winter 2020, Winter 2021 — Stanford University
Head TA of Deep Learning (CS230), Prof. Andrew Ng, Kian Katanforoosh — Fall 2019 — Stanford University
Teaching Assistant of Deep Learning (CS230), Prof. Andrew Ng, Kian Katanforoosh — Fall 2018 — Stanford University
Teaching Assistant of Linear Algebra with Application (CME200), Prof. Gianluca Iaccarino — Spring 2018 — Stanford University
Teaching Assistant of Numerical Methods for Engineering (CME206), Prof. Alison Marsden — Winter 2018 — Stanford University
Centennial TA Award, Stanford University — 2018
Prestigious university-wide teaching award recognizing exceptional contribution to undergraduate education.
Outstanding Teaching Assistant, Department of Computer Science, Stanford University — Fall & Winter 2017
Recognition for excellence in teaching and student mentorship.