Training statisticians and collaborating scientists through coursework, hands‑on research, and mentorship.

I teach graduate‑level courses in biostatistics and mentor masters and PhD students on methodological and applied research projects. I emphasize conceptual understanding of complex analyses and collaborative problem solving in scientific settings.

Students and Research Team

In addition to teaching, I enjoy mentoring students on masters‑ and PhD‑level research projects.
If you are a current University of Iowa student interested in my work, please contact me.
Prospective students are encouraged to apply through the Department of Biostatistics graduate program.

PhD Students

Stephanie Jansson

Masters Preceptorships

Amy Wu
Survival and mediation analysis of race, telomere length, and cancer mortality
Fall 2023

Dosten Kpozehouen

Prediction of survival time from treatment with application to pancreatic cancer
Spring 2024

Ryan Colburn
Surrogate Validation for Prostate Cancer Survival

Fall 2025

Brandon Gerhardt
Integrating external controls into type 1 diabetes randomized clinical trial data
Fall 2025

Lab News and Student Recognition

Amy Wu receives the Carol S. Gleich Development Award Award supports presentation of her research at ENAR 2024 in Baltimore

Amy Wu wins Iowa Chapter of the ASA Best Poster Award Recognized for outstanding student research, 2024

Dosten Kpozehouen presents at the University of Iowa Cancer Center retreat Research presentation as part of the annual Cancer Center retreat, 2024

Dosten Kpozehouen awarded Favorite Poster 2025 Annual Meeting of the Iowa Chapter of the American Statistical Association

Stephanie Janssen presents poster 2026 Annual Meeting of the Iowa Chapter of the American Statistical Association

Graduate Courses

I teach graduate‑level biostatistics courses in the University of Iowa course catalog.

BIOS:6650 Causal Inference

Spring 2023, Spring 2024, Spring 2025, Spring 2026

Overview of causal inference with emphasis on observational research. Topics include counterfactual frameworks, causal graphs, time‑varying treatments and confounding, inverse probability weighting, doubly robust estimation, causal mediation analysis, and quantitative bias analysis.

BIOS:6310 Introductory Longitudinal Data Analysis

Fall 2023, Fall 2024, Fall 2025

Introduction to statistical modeling of clustered and repeated‑measures data for continuous and non‑continuous outcomes. Emphasis on applications and computation using ANOVA‑based methods, hierarchical and mixed‑effects models, generalized estimating equations, and generalized linear mixed models.