Short courses/Tutorials 3

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1. Mar 24-28, 2026. “Africa Applied Mathematics Foundations of AI Summer School (AMFAI 2026).” Jomo Kenyatta University of Agriculture and Technology (JKUAT) and African Institute for Capacity Development (AICAD), Nairobi, Kenya
2. Mar 15-18, 2026. “A Statistician’s Guide to Integrating Generative AI into Scientific Research.” ENAR Spring Meeting. Indianapolis, IN. Two-hour tutorial and hands-on interactive session. SOLD-OUT. (46 attendees)
3. 2014 Statistical Methods for Individualizing Health. Mayo Clinic, November 17, Rochester, MN. (Short course taught with Prof. Scott Zeger)

Classroom Instruction (Primary Instructor) 13

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1. † 2026 Fall - Foundations and Practice of Modern AI for Health Data Sciences (aka “AI, Statistically Speaking”) (BIOSTAT830-002: Advanced Topics) Canvas
2. 2026 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653 Section 1), 41 MS/Doctoral students from Biostat/Stat/IOE Canvas
3. 2025 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653 Section 1), 65 Biostat MS and Doctoral Students
4. 2024 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653), 55 Biostat MS and Doctoral Students
5. 2023 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653), 40 Biostat MS and Doctoral Students
6. 2022 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653), 50 Biostat MS and Doctoral Students
7. 2022 Winter - Biostatistical Analysis For Health-Related Studies (BIOSTAT522), 158 Non-Biostat Graduate Students
8. 2021 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653)
9. 2020 Fall - Theory and Application of Longitudinal Analysis (BIOSTAT653)
10. 2019 Fall - Applied Statistics III: Longitudinal Analysis (BIOSTAT653)
11. 2018 Fall - Applied Statistics III: Longitudinal Analysis (BIOSTAT653) Canvas Syllabus
12. 2017 Fall - Statistical Methods for Epidemiology (BIOSTAT523) Canvas Syllabus
13. † 2016 Fall - Statistical and Computational Methods for Learning through Graphical Models (BIOSTAT 830: Advanced Topics) Syllabus

Massive Open Online Courses (MOOCs) 1

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1. 2013 Case-based Introduction to Biostatistics, Coursera, Teaching Staff for Prof. Scott Zeger. Website

Miscellaneous Slides 5

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1. Network. 2017 Big Data Summer Institute. Slides
2. Visualization for Individualized Health (ggplot2 lecture) Slides Code R Markdown
3. Methods in Biostatistics (140.653; Lecture 8) Slides .tex
4. A Survey of Automatic Bayesian Software and Why You Should Care. Hopkins Biostatistics Student Computing Club. Slides
5. Exploring the Posterior Distribution by Markov chain Monte Carlo. Hopkins Biostatistics Student Computing Club. Code

Reading Group 1

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1. 2018 Fall-2019 Winter - Statistical Learning Reading Group