I'm an infectious disease modeler interested in statistical modeling, forecasting, real-time analysis and open source tool development.
Currently:
- Assistant professor in Sebastian Funk's EpiForecasts group
- ☕ Using daily:
R,stan - 💩 excited about all things wastewater, and more broadly how we can leverage non-traditional data streams to improve forecasting, situational awareness, and outbreak response
- ☕ Using daily:
A bit about me:
- 🏢 2025- Assistant professor at the London School of Hygiene & Tropical Medicine in Sebastian Funk's EpiForecasts group
- 🏢 2023- Data scientist at the CDC's Center for Forecasting and Outbreak Analytics developing and evaluating models to forecast hospital admissions using wastewater surveillance data. Developed R package
wwinferenceto run wastewater-informed forecasting model and evaluating forecast performance in real-time and retrospectively. - 🏢 2021-2023 Data analyst at The Rockefeller Foundation’s Pandemic Prevention Institute, developing models and tooling for nowcasting variant prevalence dynamics globally + other public
- 🏢 2020-2021 Postdoc in infectious disease modeling at UT’s COVID-19 Modeling Consortium supervised by Lauren Ancel Meyers
- 📚 2016-2020 PhD at the University of Texas at Austin on integrating single-cell sequencing and cancer cell population dynamics data supervised by Amy Brock and Tom Yankeelov
- 📚 2012-2016 BS at Georgetown University studying biophysics
- 🔆 Generally passionate about wastewater-based epidemiology, partial pooling/hierarchical modeling, viral variant dynamics, cost-effectiveness analysis, integration of disparate data sources
- 🌎 Learning more about package/software development, cloud computing, CI/CD, all the things to improve open science/reproducibility
- 📫 Reach me at johnsonkaitlyne9@gmail.com Twitter @kaitejohnson9 LinkedIn