CV

Education

Ph.D. in Subatomic Physics and Astroparticles, Université Grenoble-Alpes, France, 2020
M.Sc. in Physics, Universidad Nacional Autónoma de México, Mexico, 2017
B.Sc. in Physics (Honors), Universidad Autónoma de Coahuila, 2014

Work experience

2023–Present: Postdoctoral Researcher — RWTH Aachen University, Germany
- Develop transformer-based foundation models for multimodal scientific data.
- GENOVA: a statistical validation framework for high-dimensional generative models.
- Investigate scaling laws, robustness limits, and interpretability of large models.
- Build generative surrogates accelerating complex physics simulations.
2020–2023: Postdoctoral Researcher — University of Genoa, Italy
- Designed deep generative models (Normalizing Flows, manifold learning) for large datasets.
- Built neural likelihood models for uncertainty-aware inference.
- Contributed to open-source ML tools used in international scientific collaborations.

Service and leadership

Working Group Leader (Theory–Experiment Interface) and Manager: COST Action CA24146: Machine Learning and Quantum Computing for Future Colliders
Experience collaborating across international research teams (Europe, US).
Mentor to graduate students in ML and large-model development.
State representative and jury. Mexican Physics Olympics. 2013
Journal referee. JHEP, SciPost, Rep.Prog.Phys (IOP), MLST.

Publications

On the Codesign of Scientific Experiments and Industrial Systems.

Dorigo, T., Reyes-Gonzalez, H., et al. (2026). 'On the Codesign of Scientific Experiments and Industrial Systems.' arXiv:2603.26613.

Learning to Validate Generative Models: a Goodness-of-Fit Approach

Cappelli, P., Grosso, G., Letizia, M., Reyes-González, H., Zanetti, M. (2025). "Learning to Validate Generative Models: a Goodness-of-Fit Approach." arXiv:2511.09118.

Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics

Amram, O., et al., Reyes-González, H. (2025). 'Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics.' Mach. Learn.: Sci. Technol. 6, 030601.

The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows

Reyes-González, H., Torre, R. (2024). 'The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows.' SciPost Phys. Core 7, 048.

Les Houches Guide to Reusable ML Models in LHC Analyses

Araz, J., et al., Reyes-González, H. (2024). 'Les Houches Guide to Reusable ML Models in LHC Analyses.' SciPost Phys. Comm. Rep. 3.

The Fundamental Limit of Jet Tagging

Geuskens, J., et al., Reyes-González, H. (2024). 'The Fundamental Limit of Jet Tagging.' Phys. Rev. D 112, L091901.

Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests

Coccaro, A., Letizia, M., Reyes-González, H., Torre, R. (2024). 'Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests.' Symmetry 16, 942.

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation

Krause, C., Reyes-González, H., et al. (2024). 'CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.' Rep. Prog. Phys.

Strength in Numbers: Optimal and Scalable Combination of LHC New-Physics Searches

Araz, J., et al., Reyes-González, H. (2023). 'Strength in Numbers: Optimal and Scalable Combination of LHC New-Physics Searches.' SciPost Phys. 14, 077.

Testing the Boundaries: Normalizing Flows for Higher Dimensional Data Sets

Reyes-González, H., Torre, R. (2022). 'Testing the Boundaries: Normalizing Flows for Higher Dimensional Data Sets.' J. Phys.: Conf. Ser. 2438.

Constraining New Physics with SModelS Version 2

Alguero, G., et al., Reyes-González, H. (2022). 'Constraining New Physics with SModelS Version 2.' JHEP 08 (2022) 068.

CaloMan: Fast Generation of Calorimeter Showers with Density Estimation on Learned Manifolds

Caterini, A. L., et al., Reyes-González, H. (2022). 'CaloMan: Fast Generation of Calorimeter Showers with Density Estimation on Learned Manifolds.' NeurIPS ML4PS.

New Developments in SModelS

Alguero, G., et al. (2021). 'New Developments in SModelS.' PoS TOOLS 2020, 022.

New Signatures of Dirac Neutralino Dark Matter

Goodsell, M., Kraml, S., Reyes-González, H., Williamson, S. (2021). 'New Signatures of Dirac Neutralino Dark Matter.' Moriond EW 2021.

SModelS v1.2: Long-Lived Particles, Combination of Signal Regions, and Other Novelties

Ambrogi, F., et al. (2020). 'SModelS v1.2: Long-Lived Particles, Combination of Signal Regions, and Other Novelties.' Comput. Phys. Commun. 251, 106848.

Constraining Electroweakinos in the Minimal Dirac Gaugino Model

Goodsell, M., Kraml, S., Reyes-González, H., Williamson, S. (2020). 'Constraining Electroweakinos in the Minimal Dirac Gaugino Model.' SciPost Phys. 9.

The S3 Symmetric Model with a Dark Scalar

Espinoza, C., Garcés, E. A., Mondragón, M., Reyes-González, H. (2019). 'The S3 Symmetric Model with a Dark Scalar.' Phys. Lett. B 788, 185–191.

LHC Limits on Gluinos and Squarks in the Minimal Dirac Gaugino Model

Chalons, G., Goodsell, M., Kraml, S., Reyes-González, H., Williamson, S. (2019). 'LHC Limits on Gluinos and Squarks in the Minimal Dirac Gaugino Model.' JHEP 04 (2019) 113.

Unitarity and Stability Conditions in a 4-Higgs Doublet Model with an S3 Family Symmetry

Espinoza, C., Garcés, E. A., Mondragón, M., Reyes-González, H. (2017). 'Unitarity and Stability Conditions in a 4-Higgs Doublet Model with an S3 Family Symmetry.' J. Phys.: Conf. Ser. 912.