Past Updates

(September 2022) I defended my Ph.D. thesis (back in June!), and started as a Research Assistant Professor at TTIC.

(May 2022) I received the Eli Jury Award from the Columbia EE Department for “outstanding achievement in the area of signal processing”.

(May 2022) We taught a short course at ICASSP 2022 in May, titled “Low-Dimensional Models for High-Dimensional Data: From Linear to Nonlinear, Convex to Nonconvex, and Shallow to Deep”. Slides are available!

(April 2022) I attended the Princeton ML Theory Summer School this summer from June 13–17.

(March 2022) New preprint released on invariance-by-design neural architectures for computing with visual data, with theoretical guarantees. Feedback is very much appreciated!

(December 2021) We presented our paper Deep Networks Provably Classify Data on Curves at NeurIPS.

(August 2021) I gave a talk about our work on the multiple manifold problem at the IMA Workshop on Mathematical Foundation and Applications of Deep Learning at Purdue. Thanks to the organizers for the opportunity to speak!

(July 2021) I will be attending the Princeton Deep Learning Theory Summer School this year.

(May 2021) We will present our paper “Deep Networks and the Multiple Manifold Problem” at ICLR 2021 on Thursday, May 6th! Conference link here, paper link here.