My education is primarily in mathematics; I was a harmonic analyst and mathematical physicist working with Sergey Denisov at the University of Wisconsin, where I obtained my Ph.D. in mathematics.
Believing I needed significantly more skill in software than my math background gave me to address the major scientific challenges of the 21st century, I took a job working for the Milwaukee Brewers after graduate school, helping to build their business analytics department. From there I moved to Google as a software engineer, becoming a developer for TensorFlow-Federated, focusing primarily on the core language, runtime, and compiler.
Eventually, as my work became more and more focused on algorithm and language design, often leveraging my mathematical education, I moved onto the Research Scientist track at Google. These days I focus on methods, algorithms, and meta-algorithms for distributed and private machine learning.
I was an athlete for many years, playing baseball and rowing in undergrad. Due to NCAA vagaries, I was able to row for one year at Wisconsin in grad school. These days I don't devote quite as much of my personal fire to sports as I once did, though I still run marathons and (very slowly) ski the American Birkebeiner annually.
I live with my beautiful wife Breanne in Seattle, along with our daughter Phoebe.