Noah Bergam is a PhD student in the Computer Science Department advised by Andrew Blumberg and Daniel Hsu. He graduated from Columbia College in 2024 with a BA in Mathematics. Noah is broadly interested in the foundations of machine learning, including problems in computational geometry and algorithmic statistics. His goal is to use these modes of theoretical analysis to guide modern machine learning practices.
