I’m a 2nd year 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 how we can use machine learning/generative AI to learn about human behavior and how humans use information generated by artificial intelligence.’’ If her friends have more questions, she’s instructed to say, “he is an economist who draws heavily on computer science and psychology.” 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 primarily focuses on the intersection of behavioral economics, causal inference, and machine learning. I am most interested in (1) how we can learn more about humans with the help of generative AI and new computational methods and (2) how people interpret and use information provided to them by AI in a variety of contexts.

In my free time, you can find me writing almost funny vignettes on my website, hiking slowly, cycling through traffic, playing soccer almost well, reading/napping, playing Catan, traveling, or simply hanging with friends.

P.S. and P.S.A. As an (aspiring) academic, I have strong opinions about almost everything. Despite what some would describe as an “obstinate” personality, I advocate for viewpoint diversity (even viewpoints I hate, of which there are many, so many). As such, I am a member of Jonathan Haidt’s Heterodox Academy, a nonpartisan, nonprofit group dedicated to promoting open inquiry, viewpoint diversity, and constructive disagreement in higher education. Please message me if you have questions about this organization or my stated membership.