Acerca de José Manuel
I am a PhD researcher in Machine Learning and Mathematical Statistics at Universidad Carlos III de Madrid. I help companies, startups, and research teams solve problems involving machine learning, statistical modeling, data analysis, and scientific computing.
My expertise includes generative modeling, hypothesis testing, density estimation, rank-based methods, model evaluation, and reliable AI. I can support projects such as machine learning prototypes, PyTorch/JAX implementations, statistical analysis, data science workflows, model validation, research paper implementation, and technical consulting.
I combine a strong mathematical background with practical engineering experience. My toolkit includes Python, Julia, PyTorch, JAX, C++, and modern data science libraries. Previously, I worked as an R&D software engineer and data engineer on large-scale data systems, query optimization, and production-oriented infrastructure.
I enjoy turning complex ideas into robust, understandable, and usable solutions.
Inglés
Bilingüe o nativo
Español
Bilingüe o nativo
Francés
Bilingüe o nativo
Acepta trabajo presencial
Madrid (hasta 50 km)
Experiencia
- Carlos III University (Av. de la Universidad,PHD STUDENT – DEEP LEARNING MODELS APPLIED TO DENSITY ESTIMATIONHIGH TECHmarzo de 2023 - Hoy (3 años y 3 meses)Calle Panadés 30, Leganes, MD, SpainPhD Researcher in Machine Learning and Mathematical Statistics.• Research on generative modeling, statistical learning, hypothesis testing, and rank-based methods.• Development of mathematically grounded methods for density estimation, implicit generative models, and related statistical learning problems.• Work spanning theory, methodology, and implementation in Python (PyTorch, JAX) and Julia (Flux).• Selected publications: AISTATS 2024, AISTATS 2026 (Spotlight), and JMLR.
- BBVACourse Instructor BBVA for Machine LearningHIGH TECHseptiembre de 2025 - Hoy (9 meses)Madrid, EspañaCourse Instructor for Banco Bilbao Vizcaya Argentaria (BBVA) in machine learning-related courses:• Mathematics for Machine Learning: linear algebra, probability, and optimization.• Machine learning from fundamentals to advanced topics, including exploratory data analysis, supervised and unsupervised learning, ensemble methods, SVMs, NLP and embeddings, kernels and Gaussian processes, and deep learning.
- Devo incR&D SOFTWARE ENGINEER: "INTERACTIVE SEARCHES" TEAM FOR LOGS MANAGEMENT.HIGH TECHenero de 2020 - marzo de 2023 (3 años y 2 meses)Madrid, Spain• • Performed and improve handling of queries: JS (ES6, Nodejs, Webpack), Java8 (Spring Boot). Increase in the processing speed of queries up to x100.• • Implemented new mathematical operations for logs management: JS (ES6, Nodejs, Jest, Mocha), Sql.• • Create data pipelines capable of handling petabytes of data: Python3• • Design of a SQL-like language for data extraction using ANTLR
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Formación
- MASTER DEGREE IN MATHEMATICS AND APPLICATIONSAutonomous University of Madrid2020MASTER DEGREE IN MATHEMATICS AND APPLICATIONS
- DUAL B.SC./B.ENG.Autonomous University of Madrid2018DUAL B.SC./B.ENG.