The theory-experiment interface in the ML era of collider physics
Talk, Corfu 2026 Workshop on Future Accelerators, Corfu, Greece
Selected Talks
Large-Scale Machine Learning in Fundamental Physics
Talk, Seminar, School of Engineering, Universidad Autónoma de Coahuila, Saltillo, Mexico
The Limits of Machine Learning in Science
Talk, Seminar, School of Physical and Mathematical Sciences, Universidad Autónoma de Coahuila, Saltillo, Mexico
The Fundamental Limit of Jet Tagging
Talk, ACAT 2025, Hamburg, Germany
The Limits of Machine Learning Methods in High-Energy Physics
Talk, Build Big or Build Smart: Examining Scale and Domain Knowledge in Machine Learning for Fundamental Physics, Munich, Germany
Machine Learning LHC Likelihoods
Talk, HEP Seminar, University of Siegen, Siegen, Germany
Foundation Models in High-Energy Physics
Talk, ML-Coffee Seminar, Laboratoire de Physique Subatomique et de Cosmologie, Grenoble, France
AI for Science: How to Build a ChatGPT that Speaks Particle Physics
Talk, Seminar, School of Physical and Mathematical Sciences, Universidad Autónoma de Coahuila, Saltillo, Mexico
A Multi-Task Large Language Model for Jets
Talk, BOOST 2024, Genova, Italy
Normalizing Flows for High-Dimensional High-Energy Physics
Talk, Theory Seminar, Institute for Theoretical Particle Physics and Cosmology, RWTH Aachen, Aachen, Germany
Machine Learning in High-Energy Physics: The Power of Normalizing Flows
Talk, HEP Seminar, Institute of Physics, UNAM, Mexico City, Mexico (Virtual)
Learning Full-Likelihoods of LHC Results with Normalizing Flows
Talk, ACAT 2022, Bari, Italy
Unsupervised Learning of Likelihood Functions for LHC Results
Talk, Learning to Discover 2022, Orsay, France
Testing the Boundaries: Normalizing Flows for High-Dimensional Data Sets
Talk, ACAT 2021, Virtual