CV
General Information - CV
- Full Name: José Manuel de Frutos
- Languages: Spanish, French, English
Education
- 2023-2027(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 Economy.
Work experience
- 2023 - Present: Ph.D. Student in Machine Learning and Bayesian Filtering
- Institution: University Carlos III of Madrid, Madrid, Spain
- Research Focus: Deep Learning models applied to filtering methods
- Project: Development of Bayesian filtering methods using Deep Learning
- Technologies: ParticleFilter, Bayesian filtering, deep learning, generative models
- Tools: Python (pyTorch, Jax), Julia (Flux)
- Publications: AIStats2024 (published), Pattern Recognition (submitted), NeurIPS (in preparation)
- 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.
Publications
Talks
II Andaluz.IA Forum 2024
Talk at University of Jaén, University of Jaén, Spain
JuliaHEP 2024 Workshop at CERN
Talk at CERN, Geneva, Swizerland
Semaine des jeunes talents scientifiques francophones / Week of Young Francophone Scientific Talents
Talk at Universcience, Paris, France
Parallel task execution. Mco replacement
Talk at CERN, Geneva, Swizerland
Summer Schools & Others
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 schoolSummer School on Bayesian Filtering
Edinburgh, Scotland
Dates: 06/05/2024–10/05/2024Nordic Probabilistic Machine Learning (ProbIA) Summer School
Copenhagen, Denmark
Dates: 01/06/2024–07/06/2024
Role: Presented posterHamburg School of Data Science 2020
Hamburg, Germany
Date: 12/02/2020
Role: Presented personal data science project
Teaching
Other Interests
- Hobbies: Basketball, travel, reading good books!