Computational Statistician  |  Data Science Educator  |  Climate & Health AI Researcher

Assistant Professor, USIU-Africa  ·  AI in Science Fellow, University of Michigan

Passionate about using code, data, and mathematical algorithms to find solutions for vulnerable communities — even when the data is sparse and the problems are complex.

Spanning infectious disease mapping, climate and health modeling, and AI — always with the same goal: extracting meaningful insight from imperfect data to inform decisions that matter. What began with HIV and TB dynamics across Kenya has expanded to climate resilience research at the University of Michigan, where the same statistical toolkit is being pushed into new territory.

The transferability of these methods is what keeps it exciting — Bayesian spatio-temporal models built for disease surveillance translate naturally into heat exposure mapping, population health forecasting, and beyond.

At USIU-Africa: shaping the next generation of African data scientists and creating pathways for women in STEM.

Methods transfer across domains. The mission does not change.

"The goal is to turn data into information, and information into insight."