Projects
Current
- Public health forecasting at Delphi.
- Producing R packages for epidemiological data processing and forecasting.
- epidatr - a package for downloading and processing epidemiological data.
- epiprocess - a package for processing epidemiological data.
- epipredict - a package for building forecasting models on epidata.
- Built data pipelines (in Python, in R), designed forecasting models.
- Forecasting and time series analysis with Forecasting: Principles and Practice.
- Advanced R concepts with Advanced R.
- SQL for data analysis (Postgres and DuckDB).
- Built web apps with Django and FastAPI to serve epidata.
Past Projects
- PhD in applied mathematics at University of California, Davis, advised by James Sharpnack (see a more complete history here).
- Worked on statistical problems on graphs.
- Applied graph theory and information theory to problems in epidemiology.
- Studied statistical limits in hierarchical communication.
- Taught courses in mathematics, probability, and statistics.
- Software engineer at PATLive.