Experience
General Information
Full Name | Jose Miguel Munoz Arias |
Date of Birth | 10 May 2001 |
Languages | English, Spanish, French, Portuguese |
Education
- 2023 - Now
PhD program in Physics, Statistics and Data Science
Massachusetts Institute of Technology, Cambridge, USA
- Expected graduation 2028
- 2019 - 2023
Bachelor of Science Physics
EIA University, Envigado, Colombia
- 4.8/5.0
- Dean's List in all semesters
- 2017 - 2018
Astrophysics Diploma
Universidad de Antioquia, Medellín, Colombia
- 2021
Graduate Courses on Deep Learning
EIA University, Envigado, Colombia
- 2021
Data Science Diploma DS4A
Correlation One
Research Experience
- 2023 - present
MIT Research
MIT, Cambridge, USA
- Supervisor prof. Garcia-Ruiz
- Responsibilities
- Improve Nuclear ab initio models and their uncertainty estimation.
- Develop a nuclear physics-informed models for the prediction of nuclear properties.
- Setup Lab for the study of the radioactive molecule cooling via laser spectroscopy.
- 2022 - present
CERN Intern Researcher
CMS Collaboration (CERN), Vanderbilt University
- Supervisor prof. Francesco Romo
- Responsibilities
- Study beyond Standard Model Dark Matter proposals and the feasibility of measuring it at the LHC.
- Investigate improvements on Transformer and GNNs for improved sensibility and extrapolation.
- Work on data processing pipelines for multivariate anomaly detection with Machine Learning at the BRIL-CMS Luminosity detector.
- 2022
Research Assistan
EIA University, Envigado, Colombia
- Supervisor prof. Amalia Betancur
- Responsibilities
- Studied quasi-elastic scattering processes at the future Deep Underground Neutrino Experiment (DUNE) near detector within a scalar Dark Matter doublet model.
- Researched methods to estimate and improve sensitivity via Machine Learning methods for a phenomenological parameter space.
- 2022
Summer Student
CERN, Geneva, Switzerland
- Supervisor prof. Andres Delannoy
- Responsibilities
- Developed an ML algorithm for detecting anomalies in experimental data of instant luminosity using bayesian computation and unsupervised learning.
- Improved the computational postprocessing pipeline of the data recording for the CMS experiment
- 2022
Research Intern
UBC, Vancouver, Canada
- Supervisor prof. Christoph Ortner
- Responsibilities
- Researched applications of the Atomic Cluster Expansion method of material sciences to high energy physics.
- Investigated the application of different parametric group-symmetry conserving computational models.
- Explored Clebsch–Gordan coefficients representation to non-compact group representations.
- 2022
Research Intern
Sivas Cumhuriyet University
- Supervisors prof. Serkan Akkoyun, Murat Koksal
- Responsibilities
- Researched the feasibility of measuring anomalous magnetic and electric magnetic moments of $\tau$-lepton on future hadronic and electronic colliders.
- Calculated numerically the expected cross-sections of different proton pdf for virtual-photon models.
- Investigated Machine Learning methods for understanding unstable atomic decay energy.
- 2020 - 2021
Theoretical and Applied Physics Member
EIA University, Envigado, Colombia
- Supervisor prof. Amalia Betancur and Juan G. Suárez
- Responsibilities
- Explored bounding phenomenological constraints using matrix co-positivity via symbolic restrictions to the quartic couplings of the Standard Model Lagrangian.
- Surveyed relic density restrictions to different Dark Matter masses via general and dedicated Montecarlo simulations.
- Developed geometric DL algorithms for particle reconstruction at neutrino experiments.
- Investigated the time-dependent Schrodinger solutions for different systems via Informed Neural Networks.
- 2020
Science Research Group Member
Universidad de Medellín, Medellín, Colombia
- Supervisor David V. Forero
- Responsibilities
- Explored the feasibility of measuring violations to the CP symmetry at the DUNE far detector given neutrino oscillations and the Jarlskog for different lepton mixing.
- Surveyed state-of-the-art precision proofs of Lepton non-universality.
- 2019
Econo-physics Research Assistant
EIA University, Envigado, ColombiaA
- Supervisor prof. Nathaly Rendón
- Responsibilities
- Solved Stochastic Equilibrium Partial Differential equations for modeling macro-econometric evolution.
- Investigated regression models for GDP via Short-Long Term Neural Networks from network search factors.
Honors and Awards
- 2022
- Summer Student Internship, CERN, Switzerland.
- Mitacs Research Scholarship, British Columbia University, Canada.
- Erasmus+ Scholarship, Sivas Cumhuriyet University, Türkiye.
- 2021
- Dean's List, EIA University, Colombia.
- Regional Research Winner, RedColsi (Colombian Research Network).
- 2020
- Dean's List, EIA University, Colombia.
- 2019
- Dean's List, EIA University, Colombia.
- 2018
- Gold Medal, National Astrophysics Olympiads.
- Honourable Mention, International Olympiads on Astronomy and Astrophysics..
- Silver Medal, Latin American Astronomy Olympiads.
- First Place, National Physics Olympiads.
- 2017
- Silver Medal, National Astrophysics Olympiads.
- Bronce Medal, Latin American Astronomy Olympiads.
Summer Schools
- 2023
Artificial Intelligence for Fundamental Interactions
- AIFI 2-weeks summer school at Northeastern University.
- 2022
CERN Summer Student
- A 9-weeks internship at CERN, Switzerland.
Academic Interests
-
Physics
- High Energy Physics.
- Nuclear Physics.
- Quantum Physics.
-
Computer Science
- Equivariant ML Models.
- Symbolic Learning.
- Symmetry discovery.
- Language Model.
- Uncertainty Estimation.
- Manifold Learning.
- Physics-Informed ML (e.g Neural PDE).
Other Interests
- Hobbies: Chess, Reading, Music, Jogging.