Scholar
Stephan Rabanser
Google Scholar ID: T5hu6dsAAAAJ
Postdoctoral Researcher @ Princeton University
Citations & Impact
Citations
880
H-index
6
i10-index
4
Publications
13
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- His research covers areas such as anomaly detection, reliability of time series representations, robustness in federated learning, and more. For further details, check out his papers.
Research Experience
- Interned at Amazon / AWS AI Labs and Google. Also served as a research visitor at MIT, CMU, and the University of Cambridge.
Education
- Pursuing a PhD in Computer Science at the University of Toronto under the supervision of Prof. Nicolas Papernot. Will join Princeton University as a Postdoctoral Research Associate working with Prof. Arvind Narayanan and Prof. Matthew Salganik at the Center for Information Technology Policy (CITP) in Fall 2025.
Background
- PhD student in Computer Science at the University of Toronto and Vector Institute, focusing on trustworthy machine learning, uncertainty quantification, selective prediction, and out-of-distribution generalization/robustness.
