I study how diseases spread and build the tools that track and stop them.
15 years across 28 countries: outbreak response and elimination programs, national forecasting platforms, mortality estimation in the NEJM, and the software that makes public health surveillance actually work.
- The Carter Center — Lead Epidemiologist, Hispaniola Initiative, OEPA & Uganda
- CrisisReady — Data Scientist
- Comunidad Connect — Board Member
Atlanta, GAMy work ranges across research, fieldwork, systems development, and teaching.
Hover or tap a year to see what that year held. Hover or tap a country to see when it happened. Either way, the line between them draws itself.
Hover or tap any year or country. Arcs show where the work happened.
Source · peer-reviewed record, field & deployment history, shipped systems, and teaching engagements. Only activities with a specific study or field country are placed on the map — not every entry has one.
Selected publications
Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China
Most-cited epidemiological analysis of early COVID-19 clinical severity
Mortality in Puerto Rico after Hurricane Maria
Prompted federal review of U.S. disaster mortality accounting
The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
Established the framework for mobility data in outbreak response
Surveillance to track progress toward polio eradication
Reports on the surveillance infrastructure behind the international polio eradication effort
Mobility data as a proxy for epidemic measures
Sole-authored — his own argument for how mobility data should be used in outbreak response
Background
I'm a computational epidemiologist with 15 years studying outbreaks and building the surveillance systems used to respond to them, from household data collection in rural Haiti to mortality estimation in the New England Journal of Medicine. I lead epidemiology for the Hispaniola Initiative at The Carter Center, working on malaria, river blindness, and lymphatic filariasis elimination across Haiti and the Dominican Republic, and I support NTD programs in Uganda and the Pan American Program for Onchocerciasis Elimination (OEPA). I'm also a Data Scientist at CrisisReady, a Harvard-affiliated initiative using data science for disaster preparedness.
I've spent time in the field and at the desk across 28 countries and counting. When I'm not in the data, I'm on a bike or working through Atlanta's food scene.
Analytics, modeling, and the systems to run them.
I like hard data problems: messy surveillance data, an outbreak that doesn't fit the textbook model, a system that needs building from scratch. I build the pipeline, fit the model, and ship something that works in the field, not just in a paper.
Mechanistic and statistical models, time-series analysis, spatial analysis, bias-corrected inference.
Pipelines, APIs, and cloud infrastructure, taken from prototype to something that runs in production.
Mobile data collection and decision-support platforms built for low-connectivity settings.
Training field epidemiologists and Ministry of Health teams to run this work themselves.
Open to interesting ideas and collaboration.
I like solving problems and building things: statistics, analytics, modeling, systems design, whatever the question needs. Global health is where I've spent my career, but the itch is the same whatever the domain. If you've got a hard question or something worth building, I'd like to hear about it.