PhD Student

Massachusetts Institute of Technology

I’m a 1st year Management Science PhD student at MIT in the IT group at Sloan. If you don’t know what that means, you’re not alone! My mom still can’t describe it to her friends, so I’ve told her to say “he studies the computational social sciences.” If her friends have more questions, she’s instructed to say “he works at the intersection of computer science, economics, and statistics.” If they keep asking, she runs away and hides.

Before I continue, let me state how wildly narcissistic it is that I, along with most academics, have these self-aggrandizing websites. Now, back to me! My research interests are 1) improving methods for causal inference using statistics and machine learning, 2) studying complexity & social networks. To be honest, I just started my PhD and I know nothing/I’m not sure what I like - check back in a few years for updates.

Prior to MIT, I was very lucky, undeservedly so, and worked at Penn under Angela Duckworth - one of the coolest people around. I was even luckier that Angela loaned me out to collaborate with insanely brilliant professors including: Daniel Kahneman, Colin Camerer, Jordan Ellenberg, Lyle Ungar, and Mark Liberman on projects in judgment & decision making, computational linguistics, and reinforcement learning.

In my free time you can find me writing almost funny vignettes on my website, hiking slowly, cycling through traffic, playing soccer almost at the D-III level, reading/napping, playing Settlers of Catan, talking to my houseplants, trying to cook, noodling on the guitar/uke, traveling, or simply spending time with friends.


  • Computational Social Sciences
  • Statistical Methods
  • Behavioral Science
  • Causal Inference


  • PhD in Management Science & Information Technology, 2022 - Present

    Massachusetts Institute of Technology

  • Master of Public Policy, 2019 - 2021

    Harvard Kennedy School

  • BA in Applied Mathematics, 2013 - 2017

    Washington University in St. Louis