Teaching

Overview and Recognition

I have served as Teaching Assistant for 11 courses (Head Teaching Assistant in 3 courses) in Statistics, Machine Learning and Computational Biology across 4 universities over a span of > 10 years.
I have also served as primary instructor of record for two courses at Duke (one in statistics, one in probability).
I have mentored over 10 master’s and undergraduate students on various research projects across Duke and Stanford.
My teaching and mentoring efforts have been recognized by Duke University three years in a row.
- Duke Statistical Science Outstanding Mentor of Undergraduate Researchers Award - 2024
- Duke Statistical Science Teaching Assistant of the Year Award (Honorable Mention) - 2023, 2022
I completed the Certificate in College Teaching program at Duke.

STA199 Introduction to Data Science (Head TA) - Spring 2023, Fall 2023
- Instructor: Elijah Meyer
- Responsible for all two sections of the course, with > 320 students enrolled
- Course Website
DECISION520Q Data Science for Business - Fall 2022, Fall 2023
- Instructor: Alex Belloni
STA671/CS671 Algorithms for Machine Learning - Fall 2022, Fall 2021
- Instructor: Cynthia Rudin
STA561 Probabilistic Machine Learning - Spring 2021
- Instructor: Eric Laber
STA101 Data Analysis and Statistical Inference (Head TA) - Spring 2019
- Instructor: Tavis Abrahamson
- Course Website
MATH230/STA230 Probability - Fall 2018
- Instructor: Robert Wolpert
- Course Website

PPHA30550 Introduction to Programming for Public Policy (Head TA) - Spring 2018
- Instructor: Eric Potash
- Course Website

BENG 249 Introduction to Biomedical Computation - Spring 2017
- Instructor: Michael Mak

020.670/020.370 Emerging Strategies in Biomedical Research - Spring 2016
- Instructor: Samer Hattar
560.348 Probability and Statistics for Engineers - Spring 2016
- Instructor: Sauleh Siddiqui
580.111 Biomedical Modeling and Design - Fall 2015
- Instructor: Eileen Haase