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 solving dynamical systems. Recently, I’ve been focusing on deep learning methods for climate sciences. 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 intern for this summer!