Scholar
Nicolai Palm
Google Scholar ID: yLb7pfYAAAAJ
PhD student, Ludwig-Maximilian University, Munich
Citations & Impact
Citations
59
H-index
4
i10-index
3
Publications
8
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements mentioned.
Research Experience
- Before his PhD, he worked for several startups in the field of data analysis and machine learning. His current research focus is on non-stationary time series, aiming to generalize fundamental theorems of probability theory and extend practical algorithms to the non-stationary context.
Education
- PhD in Computational Statistics & Data Science, LMU Munich, supervised by Thomas Nagler; MSc in Mathematics, University of Regensburg; BSc in Mathematics, University of Regensburg.
Background
- Nico Palm is a mathematician and currently pursuing his PhD in Computational Statistics & Data Science at the Munich Center for Machine Learning (LMU). His research interests include Mathematical Statistics, Uncertainty Quantification in ML, Multi-Objective Optimization, and Category Theory Approaches in ML.
Miscellany
- He is also interested in uncertainty quantification for ML models, category theory in ML, and multi-objective optimization, especially in the context of expensive blackbox functions (e.g., simulation or digital twin models).
