Teaching
Teaching
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I had the opportunity to serve as a Teaching Assistant (TA) for several courses at UC Davis, where I honed my skills in explaining complex statistical and machine learning concepts, actively engaging with students, and creating clear and effective instructional materials. Below, you can find some of the materials I prepared, showcasing my approach to teaching, problem-solving, and making technical content more accessible and intuitive.
TA at UC Davis
- Grad level courses:
STA 243 Computational Statistics (Instructor: Krishnakumar Balasubramanian) [Spring 2024]
STA 209 Optimization for Big Data Analytics (Instructor: Mina Karzand) [Fall 2022]
STA 207 Statistical Methods for Research II (Instructor: Shizhe Chen) [Winter 2025]
- Undergrad level courses:
STA 160 Practice in Statistical Data Science (Instructor: Xiao Hui Tai) [Fall 2024]
STA 145 Bayesian Statistical Inference (Instructor: Jairo Fúquene-Patiño) [Spring 2023]
STA 135 Multivariate Data Analysis (Instructor: Andrew Farris) [Fall 2023]
STA 131A Introduction to Probability Theory (Instructor: Krishnakumar Balasubramanian) [Winter 2022, 2023, 2024]
STA 032 Gateway to Statistical Data Science (Instructor: Andrew Farris) [Spring 2022]
STA 013 Elementary Statistics (Instructor: JoAnna Whitener) [Fall 2021]
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