Job title:
Consultant
Department:
Public Health
Epidemiology
Bio/CV:
Theo is a Master’s student in Epidemiology and Biostatistics, with a Certificate in Applied Data Science. His research interests lie at the intersection of infectious disease epidemiology, machine learning, and data science, with a focus on leveraging novel data streams to improve disease inference. He also serves as a Graduate Student Researcher in the Remais Lab within the Department of Environmental Health Sciences, where his work centers on utilizing Electronic Health Records to generate national estimates of under-reported fungal diseases.
Research interests:
Research Design, Nonparametric Statistics, Causal Inference, Machine Learning, Python, R, SQL
Role:
