Curriculum Vitae

Education

• Ph.D. in Mathematics and Computer Science, Universitat de Barcelona, 2023. Cum laude.
  Causality without Estimands: from Causal Estimation to Black-Box Introspection.
• M.S. in Innovation and Research in Informatics, specialization in Data Science, Universitat Politècnica de Catalunya, 2018.
• B.S. in Mathematics, Universitat de Barcelona, 2016. Graduated with honors.
• B.S. in Computer Science, Universitat de Barcelona, 2016. Graduated with honors.

Grants

• Oct. 2024 – Present: BSC AI4Science Fellowships.
  • Granted the AI4Science talent attraction and retention program as a Senior Researcher (R3) to pursue a research line on Explainable AI and its connection with Causal Inference.
• Feb. 2019 – Aug. 2022: Ajut per a Personal Investigador Predoctoral en formació de la Universitat de Barcelona (APIF).
  • Awarded the APIF grant to support doctoral studies.

Research Projects

• AI4Debunk – Participative Assistive AI-powered Tools for Supporting Trustworthy Online Activity of Citizens and Debunking Disinformation.
  • Jan. 2024 – Dec. 2027.
  • Development of Explainable AI solutions for the AI4Debunk disinformation detection Machine Learning modules.
  • PI: Axel Brando.
  • Role: Researcher.
• SAFEXPLAIN – Safe and Explainable Critical Embedded Systems Based on AI.
  • Oct. 2023 – Dec. 2023.
  • Development of Safe and Explainable AI systems considering Functional Safety regulations.
  • PI: Jaume Abella.
  • Role: Researcher.

Professional experience

• Oct. 2023 – Present: Senior Researcher (R3), at Barcelona Supercomputing Center.
  • Participation in several european research projects, providing explainability solutions to Machine Learning (ML) models. Collaboration in the writing of research proposals for Horizon Europe projects. Supervision of PhD students in related fields.
• Apr. 2023 – Sep. 2023: Lead Data Scientist, at Shimoku.
  • Led the AI department, building ML solutions for business applications.
• Jan. 2017 – Jun. 2017, Sep. 2019 – Jul. 2022: Associate Professor, at Universitat de Barcelona.
  • Teaching in the “Databases”, “Programming I”, “Data Structures”, and “Workshop on New Uses of Computers” subjects.
• Jul. 2018 – Dec. 2018: Data Scientist, at Satellogic.
  • Development of predictive Deep Learning systems based on satellite imagery.
• Oct. 2017 – Jun. 2018: Statistics and Machine Learning Professor, at KSchool.
  • Teaching in the Data Science Master, particularly in the “Introduction to Statistics” and “Machine Learning” subjects.
• Jan. 2017 – Feb. 2018: Senior Machine Learning Consultant, at Ofertia.
  • Development of a brochure recommender system bound by sales requirements and expected views.
• May 2016 – Sep. 2016: Data Scientist, at OgilvyOne.
  • Data Analysis on mailing projects. Developed automated data collection systems for the Business Intelligence department tasks.
• Nov. 2013–May 2016: Data Scientist, at DBI - Havas Media Group.
  • Developed automated data collection systems for Google Analytics. Data Analysis with Google BigQuery and development of predictive models for e-commerce data.