Jordi Rodeiro Boliart

Jordi Rodeiro Boliart
Correo electrónico
jordi.rodeiro@ext.salle.url.edu
Edificio
IOTICAT
Dirección
C. Quatre Camins 30, 08022, Barcelona
Planta
IOT


JORDI RODEIRO
DATA SCIENTIST AND PHD CANDIDATE
Barcelona, Spain

About me

PhD Candidate in Artificial Intelligence and Data Science focusing on leveraging health data and AI to improve autism detection in adults. Experienced in machine learning, NLP, and mental health analytics, with publications in international journals. University lecturer in AI and statistics, combining technical expertise, teaching, and leadership across interdisciplinary teams.

Work Experience

  • Data Scientist & PhD Researcher, Parc Sanitari Sant Joan de Déu Hospital (2023 – Present):

- Application of data science and statistical techniques in R and Python to analyze mental health data.
- Participation and leadership in AI projects aimed at improving hospital processes and workflows.
- Projects: QUIROF_AI, EPROSCHOOLS, IMPROVA, EMPOWER, Ageing with Health.

  • Data Science Intern, SENER (2022 – 2023):

- Analysis of company metrics.
- Creation of Power BI dashboards to visualize project progress.

  • Research Intern, Engineering Department, La Salle – URL (2021 – 2022):

- Development of a biomedical tool for metabolomic analysis.

  • Programming Intern, Alfred Smart Systems (2021)

Teaching Experience

  • Lecturer for Medical Residents, PSSJD Hospital (2025 – Present)
  • Lecturer, La Salle – URL (2021 – Present):

- Courses: Data Visualization & Statistics (AI Degree), Statistics (MSc Data Science), Artificial Intelligence (ARSYS Course), Programming I (Computer Engineering).
- Mentoring of seven MSc theses in AI for healthcare and sports.

  • Basketball Coordinator & Coach, Escola Pia Sarrià (2014 – Present)

Education

  • PhD in Artificial Intelligence, La Salle – URL, Barcelona (2024 – Present)
  • Master’s in Data Science, La Salle – URL, Barcelona (2022 – 2023)
  • Computer Engineering, La Salle – URL, UPC, Barcelona (2015 – 2022)
  • Sports Science, INEFC, UB, Barcelona (2016 – 2020)

Languages

  • Catalan (native)
  • Spanish (native)
  • English (advanced C1)
  • German (basic A2)

Technical Skills

  • Python
  • R
  • SQL
  • Power BI

Publications

  • Artificial Intelligence for Autism Diagnosis: Algorithms, Data, and Challenges. Presented at CCIA.
  • Changes in drug utilisation patterns with shortages (2010–2024).
  • Longitudinal relationship among physical activity, loneliness, and mental health.
  • Association of material deprivation with major depressive disorder.
  • CloMet: A Novel Open-Source and Modular Software Platform.

Awards

  • Joan Oró FI Predoctoral F. AGAUR (2024–2027)
  • Malaspina Award, Empower Consortium (2023)
  • Best Master’s Academic Record, La Salle – URL (2023)

International Experience

  • SACRU Autumn School, Rome, Italy (2025)
  • Proyecto URUBAMBA, Urubamba, Peru (2022)
  • NMUN Delegate, New York, USA (2022)