Undergraduate Course on Machine Learning, New York University, Department of Computer Science, 2021
TA for a course on machine learning, covering a broad range of topics including Gaussian processes, deep learning, nearest neighbors, k-means and more. Responsible for conducting lessons and labs, as well as writing and grading homework assignments.
Undergraduate Course, University of Colorado, Department of Applied Mathematics, 2016
Course Assistant for an introductory course on decision theory. Topics included basic probability and statistics as well as ethics and game theory.
Undergraduate Course, University of Colorado, Department of Chemical & Biological Engineering, 2016
TA for an introductory computing course covering the use of Microsoft Excel and engineering-focused programming in VBA and MATLAB.