José Adrián Pardo Pérez
@josadrinpardoprez
PhD student in Computer Science applying machine learning to biological data and mental health for real impact.
What I'm looking for
I’m a PhD student in Computer Science with a background in Big Data and Artificial Intelligence. I build computational methods for biological problems, grounded in my bachelor’s and master’s theses, and I’m especially interested in data science and AI that can translate into measurable insights.
In my Predoctoral Researcher role at the University of Murcia, I develop and evaluate AI methods for computer science applied to biology and mental health, working on data processing and experimental analysis in Python and R. I’ve also contributed to computational biology projects and publications, and I’ve built end-to-end systems like biomedical RAG with PubMedBERT fine-tuning and ontology mapping, plus anomaly/contradiction detection pipelines using classical ML, SHAP, and reproducible reporting.
Experience
Work history, roles, and key accomplishments
Predoctoral Researcher
University of Murcia
Mar 2025 - Present (1 year 4 months)
Conducts computer science research applied to biology and mental health, including development and evaluation of artificial intelligence methods. Performs data processing and experimental analysis using Python and R within research projects.
Research Assistant
University of Murcia
Apr 2023 - Mar 2025 (1 year 11 months)
Applied artificial intelligence methods to computational biology projects and contributed to scientific publications, including npj Parkinson’s Disease (2024), iScience (2023), and arXiv:2503.04370 (2025).
Backend Development Intern
Orenes Grupo
Feb 2022 - Apr 2022 (2 months)
Developed backend features in C# and .NET 6, including RESTful APIs and server-side functionality. Worked on database interaction and service integration for backend systems.
Education
Degrees, certifications, and relevant coursework
University of Murcia
Doctor of Philosophy (PhD), Computer Science
2025 -
Activities and societies: Predoctoral researcher (FPI grant, Fundación Séneca).
PhD student conducting predoctoral research applying computational methods to biological problems and mental health. Develops and evaluates AI methods and performs data processing and experimental analysis using Python and R.
University of Murcia
Master of Science, Big Data Analytics Technologies
2023 - 2024
Grade: 9.43/10
Master of Science in Big Data Analytics Technologies with research building on computational methods applied to biological problems. GPA reported as 9.43/10.
University of Murcia
Bachelor of Science, Computer Engineering
2019 - 2023
Grade: 8.5/10
Bachelor of Science in Computer Engineering, supporting later work in data science and artificial intelligence applied to biological problems. GPA reported as 8.5/10.
Availability
Location
Authorized to work in
Portfolio
github.com/joseadrianpp/NeuroEmbedJob categories
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