Teaching Assistant at Brown University Computer Science
Spring 2018
Worked as a Head TA for Optimization Methods in Finance in the Department of Computer Science.
Covered Linear Programming, Integer Programming, Index Funds, Convex Optimization, Portfolio Optimization, Interior Point Methods, Conic Optimization, Stochastic Optimization, Stochastic Gradient Descent.
Held TA hours and graded assignments and simplex projects for 20 students every week.
Fall 2018
Worked as a TA for Artificial Intelligence in the Department of Computer Science.
Covered Uninformed Search, Informed Search, Game Theory and Adversarial Search, Kowledge Representation and Reasoning, Classical Planning, Robot Motion Planning, Markov Decision Processes, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Philosophy of AI
Held TA hours and graded assignments with 13 other TAs for 100 students every week.
Spring 2019
Worked as a TA for Machine Learning in the Department of Computer Science.
Covered Linear Predictors, PAC Learning and Uniform Convergence, Uncertainty and Naive Bayes, Model Selection, Validation, and Regularization, VC Dimension and Boosting, SVM, Kernel Methods, and Decision Trees, K-Nearest Neighbors and Neural Networks, Neural Networks, Clustering.
Held TA hours and graded assignments with 18 other TAs for 100 students every week.
