# Jose M. Munoz

> Physicist and PhD researcher at MIT (García-Ruiz Lab, Laboratory of Exotic
> Molecules and Atoms). Works on the nuclear many-body problem across theory,
> computation, and precision experiment. A problem solver with broad interests
> in complex systems and emergent phenomena. Former CERN/CMS. Colombian. Also a
> photographer and writer.

Personal website and academic CV of Jose Miguel Munoz Arias.
Primary site: https://munozariasjm.github.io

## Identity
- Name: Jose Miguel Munoz Arias (Jose M. Munoz)
- Role: Physicist, PhD researcher at MIT
- Lab: García-Ruiz Lab, Laboratory of Exotic Molecules and Atoms (https://www.garciaruizlab.com/)
- Advisor: Ronald F. García Ruiz
- Location: Cambridge, MA, USA
- Google Scholar: https://scholar.google.com/citations?hl=en&user=YA-9__4AAAAJ
- GitHub: https://github.com/munozariasjm

## What he works on
- Statistics and inference as a central interest: Bayesian methods, uncertainty quantification, multi-fidelity emulation, experimental design and optimization.
- Nuclear structure from first principles: Bayesian and multi-fidelity emulation of ab initio methods (VS-IMSRG), calibration of chiral effective field theory.
- Precision experiment: laser spectroscopy of short-lived isotopes and charge radii near the proton drip line at FRIB; DAQ design; radioactive molecules.
- AI and machine learning: interpretability and alignment, symbolic and interpretable models, equivariant networks, generative models.
- Across fields: high-energy physics (CMS at CERN), neutrino phenomenology, econometrics (with HPC), and generative models in finance.
- Self-described problem solver, drawn to complex systems and emergent phenomena. Open to research and industry paths.

## Ventures
- Co-founder of Qualia (https://www.qualiatech.org/), a nonprofit making technology and science education accessible.
- Co-founder of Deita Tech, a data and AI company in Colombia.

## Selected publications
- A. Belley, J. M. Munoz, R. F. García Ruiz, "Global Framework for Emulation of Nuclear Calculations", Phys. Rev. Lett. 136, 082501 (2026), arXiv:2502.20363.
- J. M. Munoz et al., "Linking Electromagnetic Moments to Nuclear Interactions with a Global Physics-Driven Machine-Learning Emulator", arXiv:2603.26905 (2026).
- A. Brinson et al. (incl. J. M. Munoz), "Nuclear Charge Radii of Aluminium Isotopes at the Proton Drip Line", arXiv:2605.09139 (2026).
- J. M. Munoz, S. M. Udrescu, R. F. García Ruiz, "Discovering Nuclear Models from Symbolic Machine Learning", Communications Physics 8, 101 (2025), doi:10.1038/s42005-025-02023-2.
- I. Batatia, M. Geiger, J. M. Munoz et al., "A General Framework for Equivariant Neural Networks on Reductive Lie Groups", NeurIPS 36 (2023), arXiv:2306.00091.

## Pages
- /            About and introduction
- /academic/   Research interests, publications, talks, experience, fellowships, skills
- /personal/   Photography, jazz, travel, languages, paintings

## Beyond research
Co-founder of Qualia (https://www.qualiatech.org/), making technology accessible.
Photography (@ser.endipidad), jazz, travel, languages, and paintings.
Olympiad background: First Place, Colombian Physics Olympiad; Honourable Mention, IOAA (Beijing).