Scholar
Alexander Timans
Google Scholar ID: tgiKFH4AAAAJ
University of Amsterdam
Citations & Impact
Citations
36
H-index
3
i10-index
2
Publications
11
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Contributed to multiple research projects, including a study on uncertainty for Segment Anything models accepted at the NeurIPS workshop; co-authored three projects presented at the Uncertainty in AI conference in Rio de Janeiro with Rajeev and Putri.
Research Experience
- Conducting research at the Machine Learning Lab, University of Amsterdam, in collaboration with the Bosch Center for Artificial Intelligence; supervised by Eric Nalisnick (from Johns Hopkins), Christian Naesseth, and advised by Bosch researchers Christoph-Nikolas Straehle and Kaspar Sakmann.
Education
- MSc in Statistics from ETH Zurich, specializing in machine learning and computational statistics. BSc in Industrial Engineering from Karlsruhe Institute of Technology (KIT), focusing on statistics and finance.
Background
- ELLIS PhD candidate; research interests include principled and efficient uncertainty quantification for deep learning, involving probabilistic modeling, conformal prediction, risk control, etc.; applications of interest include computer vision, time series, and online or stream settings.
Miscellany
- Worked briefly with the ABI team in Tokyo, enhancing Bayesian and optimization knowledge; attended AISTATS, engaging with various researchers; places a strong emphasis on statistical rigor.
