Hi! You can find an updated bio at my project page.
- I help run the Metagovernance Project. We just released a draft white paper.
- I’m organizing a workshop called “The building blocks of Web 3.0” with Primavera De Filippi and Juan Ortiz Freuler.
- I work with Jeff Ding on AI markets and AI governance. Preliminary discussion paper here; more forthcoming.
- I work with Sokwoo Rhee and other members of NIST on indicator frameworks for smart cities.
- I’m part of the executive team at Compositionality, a new peer-reviewed, open-access academic journal dedicated to compositional ideas in science and mathematics, especially those with a categorical origin.
- I edit a book series with Bob Coecke called Applied Category Theory, to be published by Cambridge University Press. Email us if you have an idea!
- I helped teach a course at Harvard called Governing Virtual Worlds, with Lawrence Lessig and Elettra Bietti.
- For the academic year 2018-2019, I was based at Princeton as the Fleet Visiting Fellow from Magdalen College.
- I worked with economists and game developers on the in-game economy of Seed.
- Eliana Lorch and I wrote a blog post for the n-Cafe, on the behavioral approach to systems theory.
- In 2018, I organized Applied Category Theory 2018 with Brendan Fong, Bob Coecke, John Baez, Aleks Kissinger, and Martha Lewis. As part of the workshop’s activities, I participated in the ACT School 2018 in Pawel Sobocinski‘s group, where we discussed how to use cartesian bicategories to formalize ideas in Jan Willems’ behavioral approach to dynamical systems.
- As part of an NSF fellowship program, I worked with David Spivak and his lab at MIT on applied category theory, specifically on categorical approaches to data integration and to complex systems modeling. I also worked with Spivak and Andrea Censi on category theory for co-design problems (slides from my talk at UPenn), a broad class of optimization problems.
- At MIT, I co-founded a “living lab” with the City of Boston and three MIT startups called the Local Sense Lab. We won the GCTC Leadership Award in 2016, plus a $10,000 novelty check.
- During my M.S., I worked with Misha Gromov on the mathematical foundations of AI. I wrote my master’s thesis on (highly speculative) connections between cohomology and learning, which I’m trying to develop in my doctoral thesis.
- Before math, I worked in robotics at ScazLab, where I helped program robots in several human-robot-interaction experiments.
- Before robots, I studied art history at Yale (technically, I majored in EP&E and humanities), where I wrote my senior thesis on the sublime.
I am currently collecting my thoughts and questions into a summary of my research (the first version was my master’s thesis); any suggestions would be greatly appreciated! The paper is modeled on this paper by Andreas Holmstrom.