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CURRICULUM VITAE / NOVEMBER 2026

Darío Cabezas Larese

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AI Researcher · Data Scientist · Independent Builder

Madrid, Spain · dcabezas@tsc.uc3m.es

Professional experience

WPP

2025—present

Data Scientist, Global Functions

I design machine learning systems for complex enterprise data: procurement classification, standardized analytics, supplier entity resolution and master data management.

UC3M

2023—present

AI Research Scientist

In the Signal Processing Group, I investigate attention mechanisms, probabilistic models and deep learning for time series, alongside my PhD in Artificial Intelligence.

Sandoz

2023—2024

Data Scientist, Global Functions

I developed and deployed deep learning models for financial forecasting, connecting time-series modeling with operational planning.

BIsiona

Earlier experience

Data engineering & business intelligence

I worked on data engineering and business intelligence, including projects for pharmaceutical clients. This was the foundation for my move into applied machine learning.

Education · Universidad Carlos III de Madrid

PhD in Artificial Intelligence

In progress · expected 2027

MSc in Machine Learning for Healthcare

2025

BSc in Data Science and Engineering

2024

Selected publications

2026

Flow-based Spectral Kernel Learning for Nonstationary Attention

Zi Yang, Ying Li, Alejandro Lancho, Darío C. Larese, Pablo M. Olmos, Michael Minyi Zhang

NeurIPS · Coauthor · fourth author

Publication ↗
2025

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0

Darío C. Larese, Almudena Bravo Cerrada, Gabriel Dambrosio Tomei, Alejandro Guerrero-López, Pablo M. Olmos, María Jesús Gómez García

IEEE Open Journal of Intelligent Transportation Systems · First author

Publication ↗
2026

Modeling Recurrent Suicide Attempts Using Probabilistic Hawkes Processes

Darío C. Larese, Pablo M. Olmos, Antonio Artés-Rodríguez, Laura Arenas-Pijoan, Eugènia Nicolau-Subires, Vicent Llorca-Bofí, Enrique Baca-García, María Irigoyen-Otiñano, Jorge López-Castromán

Spanish Journal of Psychiatry and Mental Health · First author

Publication ↗

Research & technical capabilities

Attention mechanisms, transformers, probabilistic and generative modeling, representation learning, time-series forecasting, classification, entity resolution, model evaluation and production ML engineering.

Python · PyTorch · Hugging Face · SQL · Databricks

Independent work & additional information

Quickie · Independently developed iOS personal finance app · Launch in preparation.

Academic Excellence Scholarship · Comunidad de Madrid · 2022 · Top 3%.

Spanish: Native · English: Fluent.