Johannes Müller
Scholar

Johannes Müller

Google Scholar ID: Wfww-P8AAAAJ
Postdoctoral Researcher at TU Berlin
Scientific Machine LearningMarkov decision processesMathematical machine learning
Citations & Impact
All-time
Citations
319
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
19
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Will give talks and present posters at the Conference on Mathematics of Machine Learning 2025 at TU Hamburg-Harburg, the Conference on Mathematical and Scientific Machine Learning 2025 at the University of Naples, and is organizing a Mini-Symposium on Geometric Optimization Methods for Scientific Machine Learning at ENUMATH 2025 in Heidelberg.
Research Experience
  • Currently a PostDoc at the Institute of Mathematics at TU Berlin in the group of Benjamin Gess.
Education
  • PhD: International Max Planck Research School for Mathematics in the Sciences, supervised by Nihat Ay and Guido Montúfar; PostDoc: Junior Professorship for Mathematics of Machine Learning at RWTH Aachen University, held by Semih Çaycı.
Background
  • Research interests: at the intersection of machine learning and applied mathematics, with a particular focus on the geometric structures appearing in reinforcement learning and scientific machine learning.