I am Assistant Professor at Williams College in the Department of Statistics. I received my PhD from the University of California Los Angeles in the Statistics department. During my PhD I developed Statistical methods focused on social science applications with Professor Mark S. Handcock.
In particular I am interested in network generation processes, Bayesian social network models, causal inference for social networks and spatial point process models. Please take a look at my research page for publications and working papers. In general I am interested in problems where applying an "off the shelf" method does not yield sensible results. I consider my secret sauce to be the ability to frame a complex problem in a statistically principled manner and drive towards the final outcome of an analysis.
AI is and will continue to generate tremendous progress, as well as deep and consequential challenges. Personally, my pre-agentic AI workflow is unrecognizable from my current research process. I love to talk and ideate on this topic. I firmly believe in progress, and that the best time to have ever lived is exactly now. Topics outside my primary Statistical research interests I am particularly interested in are longevity, healthspan, fitness, and mass-market tech-enabled financial products.
I spend most my free time riding bicycles, sometimes I chase other people riding bicycles in circles too. Since moving to Williamstown, I have been skiing more, preferably uphill. I like baking cakes and bad sourdough, during the Covid19 pandemic I slowly transformed my fridge into a homemade cheese cave. Feel free to contact me with any of the below methods, emails relating to cake, skis, bicycles, and/or cheese may receive quicker replies.