Currently seeking an office :)
10100 Hopkins Dr
San Diego, CA 92093
I’m pursuing my PhD at UC San Diego, advised by Misha Belkin. I am also a Research Fellow at The Broad Institute where I am adivsed by Anthony Philippakis. For a full list of publications, see Google Scholar.
My research focuses on understanding deep learning, both theoretically and practically. In the past, I studied: benign overfitting in neural networks and kernel regression; and calibration in neural networks as it relates to generalization. My current research focuses on spectral properties of De Bruijn graphs, high-dimensional linear regression under distribution shifts, and, most recently, studying phenomena such as grokking and in-context learning with transformers, fully connected networks, and kernels.
my life in four days
|Sep 28, 2020||Started my PhD at UC San Diego|
|Aug 1, 2019||Joined Pryon Inc in Brooklyn|
|Aug 23, 2016||Moved to New York, started at IBM Watson|
|May 18, 2016||Got my Bachelor’s from Johns Hopkins University|
In 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Jul 2022
2022 International Conference on Machine Learning (Workshop on Distribution-Free Uncertainty Quantification) Oct 2022
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Nov 2020
International Conference on Learning Representations 2019
Proceedings of the AAAI Conference on Artificial Intelligence Dec 2018
Astronomy and Computing Jul 2017