Barcelona, Spain

Ángel Sánchez García

PhD Student & Software Engineer at BDSLab · ITACA (UPV)

Software engineer specialising in designing and building software for research and industry — from European R&D projects to mobile health applications — with 7+ years of experience at the Biomedical Data Science Lab (UPV).

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Portrait of Ángel Sánchez García

01About

I'm a Computer Science graduate from the Universitat Politècnica de València (UPV), specialised in software engineering. I joined the Biomedical Data Science Lab (BDSLab, ITACA-UPV) in 2019, during my Master's in Artificial Intelligence, Pattern Recognition and Digital Imaging, and I'm currently completing my PhD thesis, "Developing Academic Biomedical Software for Regulated Environments: A Case Study Approach", on how research software can be engineered for real deployment in regulated environments.

I design and build data-integrity systems for pharmaceutical manufacturing and hospital pharmacy, a European data-quality labelling tool for the Health Data Space, and monitoring frameworks for trustworthy clinical AI — translating regulations such as GAMP 5, the EHDS and the EU AI Act into deployable software. I'm also part of the team that maintains BDSLab's information systems, and I work across full-stack, web and mobile development, following agile methodologies.

  • 7+years of experience
  • PhDIn progress · UPV, since 2022
  • 4+R&D & industry projects

02Experience

  1. SW Engineer & Researcher

    February 2019 — Present

    Biomedical Data Science Lab (BDSLab) · ITACA, UPV — Valencia, Spain

    Design and development of software for industry-oriented research groups, combining software engineering with applied research. Involved in European and technology-transfer projects across the pharmaceutical, biomedical and agri-food sectors. Member of the team responsible for BDSLab's information systems.

03Education

  1. Doctorate (PhD)

    In progress · since Oct. 2022

    Universitat Politècnica de València (UPV)

    Software development for industry-oriented research groups.

  2. Master's in Artificial Intelligence, Pattern Recognition and Digital Imaging

    2018 — 2019

    Universitat Politècnica de València (UPV)

  3. BSc in Computer Science

    2014 — 2018

    Universitat Politècnica de València (UPV)

    Specialised in software engineering.

04Skills

Areas of work

  • Software Engineering
  • Full Stack Development
  • Web Development
  • Mobile App Development
  • Application Prototyping
  • Agile Methodologies

Programming

  • Python
  • Java
  • Android (Java)
  • React Native
  • C#
  • HTML
  • CSS
  • JavaScript
  • Machine Learning

Operating Systems

  • Linux
  • Windows
  • Windows Server
  • macOS

Systems & DevOps

  • Terminal / Shell
  • Git
  • GitLab
  • CI/CD
  • Docker
  • Nginx

Spoken Languages

  • Spanish — Native
  • English — C1

Certifications

  • First Certificate in English (C1)
  • Escuela Oficial de Idiomas — English B1
  • Valencian — C1

05Projects & Publications

AEI · 2023–2024

MagicA

Regulatory-aware digital quality-control system for hospital pharmacy compounding, deployed and validated at Hospital Dr. Peset (Valencia).

AEI · 2024–2026

KINEMAI

Robustness, fairness and dataset-shift monitoring framework for trustworthy clinical AI (ShinAI-Agent), aligned with the EU AI Act.

Agri-food

Agri-food predictive models

Development of predictive models for the agri-food sector.

PhD thesis: "Developing Academic Biomedical Software for Regulated Environments: A Case Study Approach" — more publications and links welcome, send them over and I'll keep this updated.

06Contact

Interested in a project, a collaboration, or an opportunity? Get in touch.