Nithin Chalapathi
University of California, Berkeley.
Hello! I’m Ph.D. student at UC Berkeley AI Research (BAIR) advised by Aditi Krishnapriyan. I primarily work on AI for Science, looking at scalable deep learning methods for the physical sciences. I aim to bring computer vision techniques to solve problems in AI science. More generally, I’m interested in machine learning, systems engineering, and their intersection.
Previously, I was an undergraduate at the University of Utah where I was fortunate to be advised by Bei Wang Phillips researching topological data analysis (TDA) and machine learning. I also collaborated with Ganesh Gopalakrishnan and Vinu Joseph exploring compression techniques for deep neural networks. Additionally, I spent summers interning at Amazon’s Last Mile route planning team and Powerhouse Venture Fund.
May 20, 2025: I’ll be joining Anyscale as a research engineer intern for this summer!