Daniel López Montero
Email • MSc in Mathematics and Applications, UAM
Geometric ML, data science, optimization, reinforcement learning, physics-informed ML, meta-learning, information theory
PhD Student
Supervisor: Enrique Zuazua
Room 03.311 | FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship
Friedrich-Alexander-Universität Erlangen-Nürnberg
Naturwissenschaftliche Fakultät. Department Mathematik
ORCID | Google Scholar
Personal site | LinkedIn
I’m a PhD student at FAU DCN-AvH, the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Bavaria (Germany).
My research interest lies in the intersection between Mathematics and Machine Learning, with a specific focus on geometric ML, data science, optimization, reinforcement learning, physics-informed ML, meta-learning, and information theory.
• Master Thesis: Physics-Informed Neural Networks (2025)
See more: News
Research interests
My research interest lies in the intersection between Mathematics and Machine Learning, with a specific focus on
• Geometric ML,
• Data science,
• Optimization,
• Reinforcement learning,
• Physics-informed ML,
• Meta-learning,
• Information theory
Projects
Awards
• Applied Math Problem Solving Competition (2022). 2nd. prize
• Applied Math Problem Solving Competition (2021). 2nd. prize
News / Initiatives
Kernel Methods and Machine Learning | Slides. FAU MoD/GMU workshop: The Mathematics of Scientific Machine Learning and Digital Twins
Authors: Daniel López Montero
Date: November 20, 2025
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