CV

General Information - CV

• Full Name: José Manuel de Frutos
• Languages: Spanish, French, English
• Technical stack: Julia, Python, Java, SQL, JavaScript; Docker, Kubernetes, Spark, Git, CI/CD

Education

• 2023–2026 (expected): Ph.D. in Pure and Applied Mathematics, University Carlos III de Madrid, Spain. Leveraged rank statistics to develop novel loss functions for generative machine learning models.
• 2020: Master’s degree, University Autónoma of Madrid, Madrid, Spain
  • Stochastic processes and advanced statistics.
  • Numerical methods and advanced PDEs.
  • Master’s thesis on the mathematical foundations of image segmentation.
• 2018: Double Bachelor in Mathematics and Computer Science, University Autónoma of Madrid, Madrid, Spain
  • Foundations of mathematics and computer science.
  • PDEs, numerical methods, statistics, AI/ML, algorithm analysis.
  • C/C++, Java, Python.
  • Bachelor thesis on geometric measure theory.
• 2016: Internacional exchange program at École Polytechnique, Paris, France
  • Focused on Mathematics, Computer Science, and Economics.

Work experience

• 2023 - Present: Ph.D. Researcher in Statistical Machine Learning
  • Institution: University Carlos III of Madrid, Madrid, Spain
  • Research Focus: Implicit generative models, rank-based methods, divergence estimation, and distribution comparison
  • Research: Development of rank-statistic methods for generative modelling, f-divergence approximation, and density estimation
    • Technologies: Rank statistics, two-sample tests, f-divergences, deep learning, generative models
    • Teaching: Teacher of the course Machine Learning II at Carlos III University (100h), Course Instructor BBVA for Machine Learning (75h).
    • Tools: Python (PyTorch, JAX), Julia (Flux)
• 2020 - 2023: Full Stack Software Engineer at Devo inc
  • R&D Software Engineer. Interactive searches team for logs management.
  • Performed and improved handling of queries.
  • Implemented new mathematical operations for logs management:
    • JavaScript, Java8, Nodejs, Jest, Mocha, SQL, ANTLR4.
• Summer 2019: Graduate Research on Soft Computing at University of Cádiz, Cádiz, Spain
  • Reduced SQL databases using soft computing algorithms and concept lattices.
• Summer 2018: CERN Openlab Internship at CERN, Geneva, Switzerland
  • Designed and implemented a new configuration management tool for the IT-CM-LCS group.
  • Ruby, Python, Puppet, Ansible, Grafana.
• Summer 2018: Severo Ochoa aid program – Introduction to Research at Instituto de Ciencias Matemáticas (ICMAT)
  • Developed fluid dynamics algorithms using Dedalus and PyMPI.
• 2017 - 2018: Software Engineer at European Southern Observatory, Antofagasta, Chile
  • Installed Datalab for Observatory Logs, storing 1 petabyte per day (Elasticsearch, Cassandra, KairosDB, Puppet).
  • Installed and managed Data Analytic tools (ELK, Jupyter, Grafana, Kibana).
  • Set up a Reverse-Proxy security architecture using Nginx.
  • Coded anomaly detection algorithms for instrumental failures (Pandas, TensorFlow).
  • Performed data ingestion, extraction, and load (ETL) boosted by 1000x (Python3, Bash).
  • Data visualization using Matplotlib, Bokeh, Plotly.
  • Provided advice on new hardware acquisition with a budget of 40K Euros.

Research Stays

• May–July 2026: Research stay at Inria Grenoble Rhône-Alpes / Laboratoire Jean Kuntzmann (LJK), Grenoble, France
  • AIRSEA team, hosted by Clémentine Prieur and Olivier Zahm.
  • Research on sliced and max-sliced Sobol indices, rank-based sensitivity analysis, and single-sample estimators.
• October 2026: Planned research stay at Inria Grenoble Rhône-Alpes / Laboratoire Jean Kuntzmann (LJK), Grenoble, France
  • AIRSEA team, hosted by Clémentine Prieur and Olivier Zahm.
  • Continuation of the joint research on sliced and max-sliced Sobol indices and rank-based sensitivity analysis.

Publications

Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss

José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, and Joaquín Míguez. (2026). "Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss." Journal of Machine Learning Research, 27(122):1–49.

Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence

José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, and Joaquín Míguez. (2026). "Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence." AISTATS 2026, Spotlight.

Approximating f-Divergences with Rank Statistics

Viktor Stein and José Manuel de Frutos. (2026). "Approximating f-Divergences with Rank Statistics." International Conference on Machine Learning (ICML).

Training Implicit Generative Models via an Invariant Statistical Loss

José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, and Joaquín Míguez. (2024). "Training Implicit Generative Models via an Invariant Statistical Loss." Proceedings of AISTATS, PMLR 238:2026–2034.

Talks

Approximating f-Divergences with Rank Statistics

September 03, 2026

Talk at XLII Congreso Nacional de Estadística, Investigación Operativa y Ciencia de Datos (SEIO 2026) — Estadística No Paramétrica, Santiago de Compostela, Spain

Approximating f-Divergences with Rank Statistics

May 11, 2026

Talk at SiDOR Research Group, Universidade de Vigo, Vigo, Spain

Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence

May 04, 2026

Oral presentation at 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026) — Oral Session 6: Generative Modeling, Tangier, Morocco

Seminar at CUNEF Universidad

April 28, 2026

Talk at CUNEF Universidad, Campus Almansa, Madrid, Spain

2026 Biennial Congress of the Royal Spanish Mathematical Society (RSME)

January 20, 2026

Talk at 2026 Biennial Congress of the Royal Spanish Mathematical Society (RSME), sesión especial Mathematics and Machine Learning, Alicante, Spain

Seminar Données et Aléatoire Théorie & Applications, Laboratoire Jean Kuntzmann

December 18, 2025

Talk at Seminar Données et Aléatoire Théorie & Applications, Laboratoire Jean Kuntzmann, Grenoble, France

Training Implicit Generative Models via an Invariant Statistical Loss

June 17, 2025

Talk at European Mathematical Society School on Mathematical Modelling, Numerical Analysis and Scientific Computing, Kácov, Czech Republic

II Andaluz.IA Forum 2024

December 20, 2024

Talk at University of Jaén, University of Jaén, Spain

Training Implicit Generative Models via an Invariant Statistical Loss

September 30, 2024

Talk at JuliaHEP 2024 Workshop at CERN, Geneva, Switzerland

Sciences & Francophonie

March 28, 2022

Outreach / invited participant at UTC Alumni, France / online

Semaine des jeunes talents scientifiques francophones / Week of Young Francophone Scientific Talents

October 01, 2018

Talk at Universcience, Paris, France

Parallel task execution. Mco replacement

August 16, 2018

Talk at CERN openlab Summer Student Lightning Talks, Geneva, Switzerland

Summer Schools & Others

• MSML – Mathematical and Scientific Machine Learning Congress
  Naples, Italy
  Dates: 03/08/2025–08/08/2025
  Role: Presented poster; received scholarship

• EMS Summer School: Mathematical Modelling, Numerical Analysis, and Scientific Computing
  Kácov, Czech Republic
  Dates: 15/06/2025–21/06/2025
  Role: Presented poster; received a full scholarship to attend the school

• Summer School on Bayesian Filtering
  Edinburgh, Scotland
  Dates: 06/05/2024–10/05/2024

• Nordic Probabilistic Machine Learning (ProbIA) Summer School
  Copenhagen, Denmark
  Dates: 01/06/2024–07/06/2024
  Role: Presented poster

• Hamburg School of Data Science 2020
  Hamburg, Germany
  Date: 12/02/2020
  Role: Presented personal data science project

Teaching

Bachelor’s Thesis Supervision (2026)

Machine Learning Instructor — BBVA (2025–2026)

Academic Tutor — Statistical Signal Processing (2024)

Machine Learning II — Teaching Assistant / Tutor (2023–2026)

Other Interests

• Hobbies: Basketball, travel, reading good books!