Lecture notes

• Lecture notes on the replica trick for the log-determinant of a Wishart matrix
  An addendum to my existing lecture notes on the extremal eigenvalues of a Wishart matrix, written in response to a question from Binxu Wang. When time allows, I’ll integrate these with my existing notes.
  [pdf]

• Lecture notes on the inductive biases of high-dimensional ridge regression
  Notes for two guest lectures on high-dimensional ridge regression given as part of Harvard AM 226 Fall 2024. Roughly based on our paper with Alex Atanasov.
  [pdf]

• Lecture notes on Gaussian process behavior in wide neural networks
  Lecture notes introducing the NNGP correspondence using mean field theory, prepared for a tutorial I gave at the HHMI Janelia Junior Scientist Workshop on Theoretical Neuroscience in November 2022.
  [pdf]

• Lecture notes on the replica method for Wishart matrix eigenvalues
  Lecture notes introducing the replica trick through the example of Wishart matrix eigenvalues, prepared for Harvard AM 226 Fall 2022.
  [pdf]

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