I am a former epidemiology researcher who has spent about a decade employing causal modeling and inference. The bulk of my academic career was spent conducting data analyses to estimate the population-level effects of harmful environment exposures.

Since leaving the academic world, I've been loving my second life in the tech industry as a ML engineer, and more recently as the Head of Data Science at a medium-sized health tech company based in Washington DC. I love mentoring junior data folks and explaining the magic of data and modeling to a non-technical audience.

I'm also a contributor in the open-source community, being the author and maintainer of the causal-curve python package.

I make a very good scrambled eggs and hash brown breakfast. I mean really, really good. Really. 🍳