Jonas Geiping
Post-Doctoral Associate
Email: jgeiping
umd[.dot.]edu
umd[.dot.]edu Phone:
+1(301)4052671
Location:
IRB 5124
Website:
Google Scholar:
Twitter:
Education:
- PhD, Computer Science, University of Siegen, 2021
- MS, Mathematics, University of Münster, 2016
Appointments:
CS
Research Areas:
Interest Areas:
Security and Privacy of Machine Learning, Empirical Understanding of Machine Learning
Biography
Jonas is a postdoctoral researcher at UMD. His background is in Mathematics, more specifically in mathematical optimization and its applications to deep learning. His current focus is on designing more secure and private ML systems, especially for federated learning, and on understanding fundamental phenomena behind generalization.