ndk2115 [at] columbia [dot] edu
Noah Krever
PhD Student @ Columbia University
I’m an (incoming) first year Computer Science PhD student at Columbia University advised by Lily Xu and Rachel Cummings, where I am part of the Columbia Core AI Lab (CAIL) and the CAPP Lab. Previously, I was a researcher in the Columbia University IEOR Department studying algorithmic game theory under Christian Kroer. I also spent a few years as a data scientist at Roc360.
Before that, I graduated from Columbia University with a B.A. in Computer Science and Statistics, with a concentration in Mathematics. During my undergraduate years, I was fortunate to research with the Theoretical High Energy Astrophysics Group (THEA) under Zoltán Haiman and Maria Charisi modeling the stochastic variability of supermassive black-hole binary candidates.
My research interests lie at the intersection of machine learning and computational economics, drawing on tools from game theory, statistics, and optimization. I am particularly interested in the foundations of algorithmic decision-making in strategic and incomplete-information settings, as well as their responsible applications in society.
Feel free to reach out if you’re interested in chatting about research, collaboration opportunities, mentoring and informal PhD application advice, or anything at all! You can find my CV here.
