Denny Wu

Denny Wu is a Faculty Fellow at the New York University Center for Data Science and affiliated with the Flatiron Institute's Center for Computational Mathematics. He completed his PhD in Computer Science at the University of Toronto and the Vector Institute for Artificial Intelligence, advised by Assistant Professors Jimmy Ba and Murat A. Erdogdu. Prior, he earned an undergraduate degree in Computational Biology from Carnegie Mellon University as a research assistant under Ruslan Salakhutdinov.

His research focuses on Theoretical Machine Learning, particularly Neural Network Optimization, Generalization Performance, and High-Dimensional Statistics. His work has been presented at top conferences like NeurIPS, ICML, and AISTATS, alongside publications in journals such as Nature Protocols and Journal of Statistical Mechanics: Theory and Experiment. Collaborative efforts include partnerships with RIKEN AIP's Deep Learning Theory Team and Microsoft's Deep Learning Group.

• Borealis AI Fellowship
• 2023 UChicago Rising Star in Data Science

Denny actively collaborates with institutions like the Vector Institute, RIKEN AIP, and Flatiron Institute, focusing on mathematical frameworks for understanding deep learning systems.