I earned my doctorate in physics at Harvard, under the supervision of Cengiz Pehlevan. My thesis considered a few topics in the statistical mechanics of neural networks. Before that, I did my undergraduate work in physics at Yale, where I worked with Damon Clark on visual motion detection and locomotor coordination in fruit flies.

Positions

• Junior Fellow of the Harvard Society of Fellows (July 2024-present)

• Postdoctoral Fellow, Pehlevan Group, Harvard SEAS (May-June 2024)

Education

• PhD in Physics, Harvard University (2024)
  Thesis advisor: Cengiz Pehlevan
  Thesis: Statistical mechanics of Bayesian inference and learning in neural networks

• AM in Physics (in passing), Harvard University (2021)

• BS in Physics (intensive major), Yale University (2019)

Selected grants, honors, & awards

• Junior Fellowship in the Harvard Society of Fellows (2024-2027)

• NIH Director’s Early Independence Award (2024)

• American Physical Society Dissertation Award in Statistical and Nonlinear Physics (2024)

• Miller Research Fellowship, University of California Berkeley (2024, declined)

• Certificate of Distinction in Teaching, Harvard University (2021, 2022, 2023)

• Howard L. Schultz Prize in Physics, Yale University (2019)

• Phi Beta Kappa (2019)

Teaching experience

• Teaching fellow, Harvard Applied Mathematics 226: Theory of Neural Computation (Fall 2022)
  Lead instructor: Cengiz Pehlevan
  Received Certificate of Distinction in Teaching

• Teaching fellow, Harvard Applied Mathematics 226: Neural Computation (Fall 2021)
  Lead instructor: Cengiz Pehlevan
  Received Certificate of Distinction in Teaching

• Teaching fellow, Harvard GenEd 1125: Artificial & Natural Intelligence (Spring 2021)
  Lead instructor: Venkatesh Murthy
  Received Certificate of Distinction in Teaching

Full curriculum vitae available on request.