I'm Pablo Matorras-Cueva, a PhD physicist and data scientist specializing in statistical modeling and machine learning. I build robust predictive systems across domains, from equity selection to petabyte-scale particle physics analyses at CERN, using Python and distributed computing to turn complex data into actionable insights. I design end-to-end data pipelines, validate models with rigorous statistical tests, and communicate technical results clearly to researchers and business stakeholders. I value reproducibility, documentation, and collaborative problem solving across international teams.

Pablo Matorras-Cuevas

I'm Pablo Matorras-Cueva, a PhD physicist and data scientist specializing in statistical modeling and machine learning. I build robust predictive systems across domains, from equity selection to petabyte-scale particle physics analyses at CERN, using Python and distributed computing to turn complex data into actionable insights. I design end-to-end data pipelines, validate models with rigorous statistical tests, and communicate technical results clearly to researchers and business stakeholders. I value reproducibility, documentation, and collaborative problem solving across international teams.

Available to hire

I’m Pablo Matorras-Cueva, a PhD physicist and data scientist specializing in statistical modeling and machine learning. I build robust predictive systems across domains, from equity selection to petabyte-scale particle physics analyses at CERN, using Python and distributed computing to turn complex data into actionable insights.

I design end-to-end data pipelines, validate models with rigorous statistical tests, and communicate technical results clearly to researchers and business stakeholders. I value reproducibility, documentation, and collaborative problem solving across international teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Spanish; Castilian
Fluent
English
Fluent
French
Advanced
Italian
Advanced
German
Intermediate

Work Experience

Doctoral Researcher at CERN (CMS Collaboration) & IFCA
January 1, 2019 - January 1, 2025
Built end-to-end data pipelines for large-scale datasets (Petabytes) using HTCondor distributed computing and Python, achieving a 15% improvement in signal-to-noise ratio via advanced statistical modelling. Managed Data Quality for the CMS detector, validating Deep Learning model performance for particle classification and ensuring high data-simulation agreement. Validated hardware designs through systematic Monte Carlo simulations and hands-on sensor commissioning, ensuring accuracy for next-gen upgrades. Communicated technical insights through international conference talks and contributed to 300+ publications within the CERN CMS Collaboration.
Teaching Assistant at University of Cantabria
January 1, 2021 - January 1, 2023
Coordinated 3rd-year Physics Laboratory: designed experimental protocols, mentored students on data analysis/reporting, and managed grading systems.

Education

PhD in Physics at Universidad de Cantabria
January 1, 2019 - January 1, 2025
MSc in Particle Physics at Universidad de Cantabria & University of Zurich
January 1, 2017 - January 1, 2019
BSc in Physics at Universidad de Cantabria
January 1, 2013 - January 1, 2017

Qualifications

FPI Scholarship (Spanish Ministry of Education)
January 1, 2019 - December 31, 2024
CERN Summer Student
January 1, 2017 - December 31, 2017

Industry Experience

Software & Internet, Education, Professional Services, Media & Entertainment, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
See more

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