Hi, I'm Taylor and I'm a statistics nerd.

Once upon a time I dreamed of being an economist; I had read Freakonomics and fallen in love with exploring the hidden side of everything. Fortunately I stumbled into a statistics class at Duke and never looked back.

After my indoctrination into Bayesian statistics I broadened my perspectives at Carnegie Mellon. My PhD work adapated standard ML algorithms such nearest neighors, random forests, and neural networks to perform conditional density estimation with applications in multimodal uncertainty quantification and Approximate Bayesian Computation. Academia was nice but it was impossible to withstand the allure of indu$try.

I started my career working on experiment design and analysis to optimize Google search ads. Nowadays I work at YouTube working to understand the new world of Generative AI and its impact on the platform.

When I'm not working or writing I'm likely outside competing in orienteering and adventure races. The heart of these sports shares the same core as my work life: navigating uncertainty to make better decisions. Just with cardio and sleep deprivation.

This blog is a space for me to explore. The content of most interest will be the technical posts: these will cover my side projects, interesting techniques, or observations. The ephemera section is totally for me: these are reflections on talks I attend, books I read, plays I watch, or anything else that doesn't lend itself to general public interest.