I'm a research scientist, probabilistic programmer, and software engineer. My main focus is developing and implementing computational approaches for faster and more reliable data analyses. My PhD research focused on:
I am a passionate advocate for open source software and contribute to many open source projects, especially in the Julia language, including:
ArviZ.jl: exploratory analysis of statistical models
Manifolds.jl: algorithms and statistics on manifolds
ChainRules.jl: generic automatic differentiation rules
e3fp: 3D molecular fingerprinting
PhD in Biological and Medical Informatics, UCSF (2020)
BS in Biochemistry, UCLA (2008)
Systems Analyst, DOE Joint Genome Institute (2009-2014)
See all publications on Google Scholar.
Bayesian Computational Biology in Julia, with Seth Axen on the Learning Bayesian Statistics podcast.