A collection of Bayesian statistical models for general usage, implemented in PyMC3
A curated collection of of essays that I believe are be useful to the broader Python data science community.
Using variational autoencoders and gaussian processes to forecast the protein sequence of influenza.
Figuring out if genome shuffling is important for influenza host switching.
I helped make cheap cameras that continuously monitor wildlife.