Hi! I'm Adam, a Bayesian statistician working as a contractor with the Center for Forecasting and Outbreak Analytics at the CDC.
For an idea about my work, see:
| Repository | Description |
|---|---|
thesis |
My thesis, "Bayesian spatio-temporal methods for small-area estimation of HIV indicators", supervised by Seth Flaxman (Oxford, CS) and Jeff Eaton (Imperial, DIDE; Harvard, CCDD) |
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.
If have have any suggestions, let me know!
I predominantly program in R, and use orderly for reproducible research; rstan, R-INLA, TMB, and aghq for (somewhat) Bayesian inference; the tidyverse for data manipulation; ggplot2 for plotting; and sf for spatial data.
Over time, I am looking to become multilinual by learning Python: any advice welcome.
I'm currently reading: Trees, maps, and theorems, The Effective Manager, and miscellaneous 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.
For more information, and my blog, see athowes.github.io.
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