COMPSCI 590W / INFO 390W, Health Informatics and Data Science

Teaching Assistant, Spring 2022

Health Informatics and Data Science is a small (about 35 students), joint masters-level and undergraduate course tailored for students with both clinical and computational backgrounds. As the sole TA during of this course, I worked with the instructors to develop and refine course content (including hands-on projects) and administer the course. I also taught weekly discussion sections that aimed to reinforce course content, provide hands-on problem solving experience, and teach students about scientific computing libraries in Python.

COMPSCI 240, Reasoning Under Uncertainty

Lead Teaching Assistant, Fall 2021
Teaching Assistant, Fall 2020

Reasoning Under Uncertainty is a large (about 300 students), lower-division undergraduate course covering the fundamentals of counting, probability, and probabilistic reasoning. This course is foundational for many advanced concepts in computer science including machine learning, artificial intelligence, and data analysis. As one of six TAs, I held office hours and led weekly discussion sections that aimed to resolve student questions and reinforce course content. As a lead TA, I was also responsible for ensuring a consistent, high quality student experience across discussion sections and for managing many aspects of course administration.

COMPSCI 590W, Health Informatics and Data Science

Teaching Assistant, Spring 2021

Health Informatics and Data Science is a small (about 20 students), masters-level course tailored for students with both clinical and computational backgrounds. As the sole TA during the first offering of this course, I worked closely with the instructors to develop course content (including hands-on projects) and administer the course. The nature of this course further honed my ability to communicate complex material across disciplinary barriers—which is a necessary competency for health informatics researchers.