Teaching at the University of Michigan

  • BIOSTAT 602: Biostatistical Inference Winter 2024 and Winter 2025

    Graduate-level statistical course covering theoretical foundations of statistical reasoning and inference.

  • BIOSTAT 664: Special topics on applied mathematical models Winter 2026

    Graduate-level seminar-style course on computation and bio-medical applications of mathematical models, such as differential equations and stochastic processes.

Teaching at UCLA and Duke

  • Introduction to OHDSI tutorial Instructor, OHDSI Global Symposium, 2023

    Watch the recorded tutorial

  • STA 101: Data Analysis and Statistical Inference Instructor of Record, Duke University, Summer 2021

    Course website and course materials.

  • STA 199: Intro to Data Science TA and Lab Instructor, Duke University, Fall 2020

    Hands-on instruction supporting early data science training and practical computing skills.

  • STA 723: Statistics Case Studies TA and Workshop Instructor, Duke University, Spring 2020

    Included a workshop on high-performance cluster usage for computational workflows.

  • STA 601: Bayesian Methods and Modern Statistics TA and Lab Instructor, Duke University, Fall 2019

    Supported Bayesian modeling instruction and computational lab sessions.

  • Duke Statistical Science Bootcamp Co-instructor, Duke University, Summer 2018

    Bootcamp materials for foundational computing and statistics preparation.