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 resources I've found useful, or what I'm learning about via tutorial.
• 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