Nikhil Ghosh

Research Fellow at the Flatiron Institute

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162 5th Ave

New York, NY 10010

I am a research fellow in the Center for Computational Mathematics (CCM) at the Flatiron Institute. I completed my PhD in the Statistics department at UC Berkeley where I was advised by Bin Yu and Song Mei. I have also collaborated with Misha Belkin at UC San Diego. Previously, I completed my B.S. in Computer Science at Caltech where I worked with Yisong Yue.

My research spans the foundations and practice of deep learning, with an emphasis on optimization, scaling, and efficient architectures. Recently, I have worked on hyperparameter transfer, parameter-efficient finetuning, and sparse neural networks.