Hi! I'm Adam, a Bayesian statistician (and nascent data scientist) primarily working with the Center for Forecasting and Outbreak Analytics at the CDC.
- Previously, I completed my PhD in statistics and machine learning at Imperial College London.
- I'm always looking to improve at writing good code, and welcome suggestions. I predominantly program in R, and over time would like to become multilinual by learning Python or perhaps Julia.
- I'm currently reading: The Pragmatic Programmer, see
reading. - You may be interested in these
resourcesI've found useful, or what I'm learning about viatutorial. - You can learn more about me at my website.
To give an idea about my work see the following:
| Repository | Description |
|---|---|
epidist |
An R package for estimating delay distributions accounting for censoring and truncation |
helios |
An R package for simulating the impact of far UVC interventions using an individual-based model |
thesis |
My thesis "Bayesian spatio-temporal methods for small-area estimation of HIV indicators" |
beyond-borders |
Evaluating the suitability of spatial adjacency for small-area estimation (arealutils) |
multi-agyw |
Estimating HIV risk group proportions with a multinomial spatio-temporal model (multi.utils, UNAIDS) |
naomi-aghq |
Improving approximate Bayesian inference methods for extended latent Gaussian models (inf.utils) |
exp-growth |
Time-series methods for disease-agnostic metagenomic environmental threat detection |