About me

I’m a second year PhD student at Carnegie Mellon University studying statistics and machine learning. Previously, I studied mathematics and computer science at UCLA.

If you would like to contact me, please use one of the links on this page. Alternatively, you can try shouting my name in a public place.

Research

I’m extremely lucky to be advised by Aaditya Ramdas at CMU. I am generally interested in a wide variety of topics related to mathematical statistics and machine learning, including deep learning theory, optimal transport, changepoint detection, multiple testing, and conformal prediction. See my papers here.

I’m also working with Mikael Kuusela at CMU and scientists from the Jet Propulsion Laboratory at NASA analyzing land surface temperature data from the ECOSTRESS mission.

Last summer, I was an applied science intern at Amazon Web Services (AWS) working on research problems related to optimal transport and Gromov-Wasserstein alignment (see our paper here).

Other stuff

Outside of the time I spend doing math, I play Indian classical music on the Bansuri flute. I also run marathons, bike long distance, and hike glacier mountains supporting Asha for Education (please donate here!), and I volunteer for the Crisis Text Line as a Crisis Counselor (donate here!).

I’ve been known to watch TV shows, read books, and play video games with friends in my spare time. I recently read Mistborn and The Stormlight Archive by Brandon Sanderson — both excellent series that I highly recommend. I’ve also recently enjoyed watching Pluribus.