I am a PhD candidate at New York University, working with Kyle Cranmer, Yann LeCun, and Eric Vanden-Eijnden, as well as some folks at the Flatiron Institute's Center for Computational Quantum Physics (CCQ).

Previously, I was a graduate fellow at the Perimeter Institute for Theoretical Physics thinking about quantum stuff (fields, many-body systems) and machine learning.

I completed my MPhil in Physics at the University of Cambridge in 2018 and my A.B. in Physics and History at Harvard University in 2017.

Please reach out if there's anything you'd like to discuss!

• [02/2024] I am headed to MIT to give the IAIFI Seminar.
• [01/2024] I will give my dissertation defense!
• [10/2023] I will be speaking at the Structured Learning Workshop jointly hosted by Chalmers University and the University of Gottenburg.
• [10/2023] I was happy to discuss out work on interpolants with Learning on Graphs and Geometry reading group at MIT.
• [09/2023] Excited to give a talk at the upcoming Probabilistic Sampling for Physics workshop at Institut Pascal this September.
• [08/2023] I am off to Tokyo to present at the ICIAM workshop on Algorithmic advances in computational quantum physics, where I will be discussing work jointly with Aavishkar Patel, Peter Lunts, and Michael Lindsey on multigrid method for the spin fermion model.
• [05/2023] Looking forward to speaking at the Youth in High Dimension workshop at the International Centre for Theoretical Physics in Trieste. Video can be found here.
• [03/2023] New preprint to formalize the connections between flows and diffusions under the stochastic interpolant framework!
• [03/2023] Enjoyed giving the Inference and Control seminar at the Donders Institute.
• [03/2023] Traveling to Munich to discuss flows and lattice field theory at the Machine learning approaches in lattice field theory workshop at the Institute for Advanced Study of TUM.
• [02/2023] I am in Berkeley for the week to give the Applied Math Seminar held jointly between UC Berkeley and Lawrence Berkeley Lab.
• [01/2023] Our paper on building normalizing flows with stochastic interpolants was accepted to ICLR!