I think and write about technology and society. Sometimes I build things too. Lately I’ve been obsessed with the following question:

How should we govern our digital institutions?

I take an interdisciplinary lens, which can mean exploring the implications of antitrust law or finding the equilibrium of a collective choice mechanism. Right now, though, I’m examining the governance of open source machine learning projects.

I’m a CS Master’s student at MIT, where I also graduated in 2021 with a degree in Computer Science (while also dabbling in economics and philosophy). Because of a generous grant from Open Philanthropy, I’m working with Professor Dylan Hadfield-Menell to examine the past and future of open source machine learning through an institutional lens.

In addition to my work with Dylan, I’m part of the Metagovernance Project, where I’m currently looking at digital governance in the emerging landscape of Web3.

In the past, I’ve been a data research analyst at the wonderful Center for Security and Emerging Technology, a policy intern at the White House Office of Science and Technology Policy, and a researcher at the MIT Computational Cognitive Science group.

Intellectual influences of mine include Elinor Ostrom, Nadia Eghbal, and David Chapman. I am deeply grateful to them and their mutuals for inspiring me and shaping my worldview.

My mailing list is for the occasional personal update and reflection. My Substack is for more regular updates on my open source governance research. You can also find me on Twitter.