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