Talks

• September 2025: Functional Optimization in Scientific Machine Learning, Conference on Mathematics of Machine Learning 2025, TU Hamburg-Harburg
• February 2025: Geometry of Natural Policy Gradient Methods and Entropy Regularization in Reinforcement Learning, Seminar für Angewandte Matheamtik, ETH Zurich
• June 2024: Geometry and Convergence of Natural Policy Gradient Methods, Seminar on Learning Theory and Statistical Optimization, University of Oxford
• June 2024: Geometry of Optimization in Scientific Machine Learning and Reinforcement Learning, Invited talk, Geometric Deep Learning workshop, University of Cambridge
• January 2024: Natural Gradients for Scientific Machine Learning, Post Graduate Seminar, Chair of Mathematics of Information Processing, RWTH Aachen
• April 2023: Theoretical Analysis of Boundary Penalties for NN-based PDE Solvers, Machine Learning + X Seminars 2023, Brown University, Providence, online
• February 2023: Geometry of Sequential Decision Problems, Optimization and Data Science Seminar, University of California, San Diego, online
• November 2022: Geometry of Markov decision processes, Annual meeting of the Priority Programme Theoretical Foundations of Deep Learning (SPP 2298), Evangelische Akademie Tutzing, Germany
• October 2022: Geometry of Natural Policy Gradient Methods, Applied Math Colloquium, University of California, Los Angeles, USA
• September 2022: Minisyposium Algebraic Geometry and Machine Learning at the SIAM Conference on Mathematics of Data Science (MDS22), Town and Country Resort, San Diego, California, USA
• August 2022: Workshop on Algebraic Geometry, Combinatorics, and Machine Learning, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
• May 2022: Algebraic Statistics 2022, University of Hawai’i at Manoa, Honolulu, HI, USA
• April 2020: Math Machine Learning seminar MPI MIS + UCLA

Poster presentations

• March 2025: Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks, Annual Meeting of EMS activity group on Scientific Machine Learning, Politecnico di Milano

• February 2025: Essentially Sharp Estimates on the Entropy Regularization Error in Discounted Markov Decision Processes, Workshop on Reinforcement Learning 2025, Mannheim

• July 2024: Essentially Sharp Estimates on the Entropy Regularization Error in Discounted Markov Decision Processes, ICML 2024 Workshop: Foundations of Reinforcement Learning and Control – Connections and Perspectives, Wien

• July 2024: Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks, ICML 2024, Wien

• February 2024: Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients, Symposium on Sparsity and Singular Structures 2024, RWTH Aachen University

• February 2024: Geometry and Convergence of Natural Policy Gradient Methods, Symposium on Sparsity and Singular Structures 2024, RWTH Aachen University

• January 2024: Geometry and Convergence of Natural Policy Gradient Methods, Mini-Workshop on Reinforcement Learning, University of Mannheim

• June 2022: Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space, Multidisciplinary Conference on Reinforcement Learning and Decision Making, Brown University

• April 2022: The Geometry of Memoryless Stochastic Policy Optimization in Infinite Horizon Partially Observable Markov Decision Processes, International Conference of Learning Representations, online

• November 2021: A Posteriori Estimates and Convergence Guarantees for Neural Network Based PDE solvers, Deep learning and partial differential equations at the Sir Isaac Newton Institute, Cambridge, UK

• October 2021: The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon Partially Observable Markov Decision Processes, Geometry & Learning from Data, BIRS workshop hosted by Casa Matem ́atica Oaxaca (CMO), held online, poster available

• August 2021: The geometry of discounted stationary distributions of Markov decision processes, Workshop on Workshop on Mathematics of deep learning at the Sir Isaac Newton Institute, Cambridge, UK, poster available

• August 2021: The geometry of discounted stationary distributions of Markov decision processes, Conference on Mathematics of Machine Learning at the Zentrum für interdisziplinäre Forschung, Bielefeld, Germany, poster available

• April 2020: Deep Ritz revisited, ICLR workshop on Integration of Deep Neural Models and Differential Equations, held virtually, fulltext available

• April 2020: On the space-time expressivity of residual networks, ICLR workshop on Integration of Deep Neural Models and Differential Equations, held virtually, fulltext available | ICLR workshop DeepDiffEq

Conferences and meetings

• June 2024: Mathematical and Scientific Machine Learning, Rome, Italy
• June 2024: Geometric Deep Learning workshop, University of Cambridge, UK
• February 2024: Symposium on Sparsity and Singular Structures 2024, RWTH Aachen University, Germany
• January 2023: Mini-Workshop on Reinforcement Learning, University of Mannheim, Germany
• November 2023: Workshop on Geometry and Machine Learning, MPI MiS, Germany
• November 2022: Annual meeting of the DFG Priority Programme Theoretical Foundations of Deep Learning (SPP 2298), Evangelische Akademie Tutzing, Germany
• September 2022: SIAM Conference on Mathematics of Data Science (MDS22), Town and Country Resort, San Diego, CA
• August 2022: Workshop on Algebraic Geometry, Combinatorics, and Machine Learning, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
• June 2022: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Brown University, Providence, RI
• May 2022: Algebraic Statistics 2022, University of Hawai’i at Manoa, Honolulu, HI
• April 2022: Tenth International Conference on Learning Representations (ICLR 2022)
• November 2021: Deep learning and partial differential equations, Workshop at the Sir Isaac Newton Institute, held online
• October 2021: Geometry & Learning from Data, BIRS workshop hosted by Casa Matem ́atica Oaxaca (CMO), held online
• August 2021: Theory of deep learning, Workshop at the Sir Isaac Newton Institute, held online
• August 2021: Conference on Mathematics of Machine Learning, Center for Interdisciplinary Research (ZiF), Bielefeld University, Germany
• January 2021: Developments in the Mathematical Sciences 2020/2021, MPI MiS, Germany
• April 2020: International Conference on Learning Representations (ICLR), held virtually
• November 2019: Oberwolfach Graduate Seminar: Mathematics of Deep Learning, Banach Center, Będlewo, Poland
• October 2019 Computational and Mathematical Methods in Data Science, Zuse Instutite Berlin, Germany
• March 2019: Deep Learning Theory Kickoff Meeting, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
• September 2018: Renormalisation in QFT and SPDEs: A gentle introduction and some recent developments, Sir Isaac Newton Institute, Cambridge, UK
• February 2018: German Probability and Statistics Days, Freiburg im Breisgau, Germany
• November 2017: Systems out of equilibrium: Maths meets Physics, University of Warwick, UK
• November 2017: Graduate student meeting and annual meeting of the London Mathematical Society, London, UK

Reviewing Services

• Science Advances
• SIAM Journal on Mathematical Analysis
• Neural Networks
• Information Geometry
• Neural Information Processing Systems (NeurIPS)
• International Conference on Machine Learning (ICML)
• International Conference on Learning Representations (ICLR)
• Transactions on Machine Learning Research (TMLR)
• IEEE Transactions on Automatic Control
• Transactions on Machine Learning Research
• Engineering Applications of Artificial Intelligence

Organization

• September 2025: Mini-Symposium on Geometric Optimization Methods for Scientific Machine Learning, Geometric Optimization Methods for Scientific Machine Learning at ENUMATH 2025, Heidelberg
• August 2022: Workshop Algebraic Geometry, Combinatorics and Machine Learning, Max-Planck Institut für Mathematik in den Naturwissenschaften, Leipzig

Non scientific services

• 2021-2023: Member of the Promovierendeninitiative (Nationwide council of PhD scholarship holders)
• 2021/2022: External PhD representative of the MPI MIS