Hi! I'm Adam, a Bayesian statistician 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. For more information, and my blog, see athowes.github.io. To give an idea about my work, see:

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

• I'm always looking to improve at writing clear, concise, efficient, reproducible code. Any suggestions, let me know! I predominantly program in R. Over time, I'd like to become multilinual by learning Python (and maybe Julia?): advice welcome.
• I'm currently reading: The Effective Manager and resources about technical management, see reading.
• You may be interested in these resources I've found useful, or what I'm learning about via tutorial.