I am passionate about teaching and have served as a teaching assistant in various courses in machine learning, artificial intelligence, and computer science.
Group Meetings
- Introduction to Distributionally Robust Optimization
- Introduction to the Neural Tangent Kernel
- Uncertainty Quantification in Machine Learning (Draft)
ECE421 (Fall 2022): Introduction to Machine Learning
- Tutorial on Linear Algebra
- Tutorial on Multivariate Calculus
CSC2541 (Winter 2022): Topics in Machine Learning: Neural Net Training Dynamics
- Tutorial on Bayesian Parameter Estimation
- Tutorial on Kernel Methods and Gaussian Processes
CSC412 (Winter 2025): Probabilistic Machine Learning
- Tutorial 2 on Inference in DAGs
- Tutorial 3 on Markov Random Fields