Michael Ruddy is an assistant professor in the Master in Data Science program. His research interests are in deep learning in image processing and applications of geometry to image science, data science, and statistics. He is passionate about creating a respectful and inclusive environment in his courses, in which students feel comfortable collaborating, taking risks, and making mistakes.
Professor Ruddy received a PhD in mathematics from North Carolina State University in 2019 (with advisers Irina Kogan and Cynthia Vinzant). Before joining the University of San Francisco, he was in the nonlinear algebra research group at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany.
- North Carolina State University, PhD in Mathematics, 2019
- University of Tennessee at Martin, BS in Mathematics, 2014
- Postdoctoral Fellow, USF Data Institute
- Postdoctoral Researcher, Max Planck Institute for Mathematics in the Sciences
- Deep learning in medical imaging
- Applications of geometry to data science and statistics
- Geometric invariants in applications