Biostatistics, Bayesian methods, Causal inference, Epidemiology, Digital health
About
Luke Duttweiler develops biostatistical and machine learning methods for population health, spanning Bayesian modeling, causal decision strategies, and network structure learning. He builds tools for mobile health and environmental/reproductive epidemiology to enable robust real-world evidence from large, irregularly tracked datasets.
Partnering listings
Learn more
No Partnering listings yet
This innovator has not added partnering listings yet. For now, explore their publications, funding, and other profile details to identify promising topics to connect on.