AI & multiomics
Machine Learning, Deep Learning, AI and statistical frameworks for integrating genomics, transcriptomics, microbiome, clinical and imaging-derived data.
Bioinformatics & Biostatistics | Artificial Intelligence | multiomics | precision medicine | cancer research
Pablo Villoslada-Blanco, PhD
I help biomedical teams transform complex omics, clinical and imaging data into interpretable models, reproducible analyses and translational insight.
Postdoctoral Research Assistant at GMEG (CNIO, CIBERONC), working at the intersection of cancer research, microbiome, spatial transcriptomics and biomedical Artificial Intelligence (AI).
7+
years of experience
9
software & data systems
20+
PubMed records
25+
conference contributions
9
Google Scholar h-index
About
Computational science for biomedical decisions.
I am a bioinformatician and biostatistician with a PhD in Biomedical and Biotechnological Sciences. My work connects statistical modelling, Machine Learning, Deep Learning and AI with biomedical research to make high-dimensional data more useful, interpretable and reproducible.
I work on cancer research, liquid biopsy, molecular classifiers, microbiome and virome analysis, and spatial transcriptomics. My focus is building AI-driven methods, reproducible software and clinically oriented data products that can move from analysis to translational impact.
Current affiliation: Genetic & Molecular Epidemiology Group (GMEG) - Spanish National Cancer Research Center (CNIO) and Centro de Investigación Biomédica en Red Cáncer (CIBERONC).
Expertise
Where I can contribute
Cancer research
Computational methods for cancer detection, molecular classification, liquid biopsy and translational oncology, with applications across cancer research and clinically oriented biomarker development.
Biostatistics
Study design, survival analysis, Bayesian statistics, causal thinking, modelling, visualization and publication-ready interpretation.
Reproducible analysis & agents
R, Python, Linux, workflow design, LLMs, coding agents, reports and pipelines that make scientific analysis transparent, maintainable and reusable.
Product & software
Research software, AI workflows and translational data systems.
PDACMOC
R package and Shiny application for applying published pancreatic cancer molecular classifiers, the new PDAConsensus model and translational classification workflows.
PDAConsensus
Consensus model developed to integrate existing pancreatic cancer molecular classifiers into a unified framework for reproducible subtype assignment.
PVB Intelligence Brief
AI-assisted intelligence system with a private daily dashboard for news curation and scoring, plus a public weekly digest for scientific, biotech and AI signals.
Private scientific production systems
Private LaTeX Documents and Quarto Slides systems for brand-aligned manuscripts, theses and scientific presentations.
Virome bioinformatics pipeline
Bioinformatics pipeline for virome analysis, feature generation and downstream Machine Learning-ready outputs.
In development
ORACLE, LORE-AI and the virome bioinformatics pipeline are being developed as additional AI-oriented biomedical software systems.
Publications
Publication profiles, PubMed and CVN
Find my publication record and academic profiles through Google Scholar, ORCID, ResearchGate, PubMed and my CVN.
Scientific outreach
Ideas at the edge of science, AI and professional growth.
I write about scientific and technical topics around AI, multiomics, precision medicine, cancer research and computational biology, translating new methods into practical biomedical context.
I also write about personal growth, consistency, decision-making and the habits behind a sustainable scientific career.
AI and multiomics for precision medicine
Short, applied reflections on papers, models and biomedical AI tools.
Training discipline beyond the lab
Notes on focus, sport, routines and long-term professional development.
Recognition
Awards, mentoring and scientific community.
Awards. Extraordinary Doctorate Award, Talento Joven Riojano 2024, first prize for best Master's Thesis at the 6th Datathon of the 9th Bioinformatics Conference, and SEIMC best communication award.
Roles. Ambassador of the European Association for Cancer Research (EACR) and mentor/advisor at Nucleate Spain.
Memberships. SEBiBC, ISCB/RSG-Spain, International Biometric Society, Sociedad Española de Bioestadística, EACR, IAP, EPC, ALIPANC and SCOURGE Cohort Group.
Background
Academic training and research trajectory.
Postdoctoral Research Assistant · GMEG (CNIO, CIBERONC)
AI for cancer research, liquid biopsy, microbiome, spatial transcriptomics and clinically oriented data products. CNIO appointment from July 2023 and CIBERONC appointment from October 2024.
PhD Researcher · CIBIR
Microbiota analysis at the Center for Biomedical Research of La Rioja, supporting biomedical projects with bioinformatics, statistical analysis and reproducible outputs.
PhD Student · CIBIR / University of La Rioja / KU Leuven
Characterization of gut bacteriome and virome in HIV infection, inflammation and cardiovascular risk, including doctoral research stays at the Laboratory of Viral Metagenomics, Rega Institute, KU Leuven.
PhD, four master's degrees and a degree in Biochemistry
PhD in Biomedical and Biotechnological Sciences, with Cum Laude, International Doctorate Mention and Extraordinary Doctorate Award. Master's training in Bioinformatics and Computational Biology, Biostatistics, Artificial Intelligence and Deep Learning, and Chemistry and Biotechnology. Degree in Biochemistry.
Consulting
Scientific consulting for data-intensive biomedical projects.
I support academic and translational teams that need rigorous, reproducible and publication-oriented help with complex biomedical data. Engagements are scoped privately according to project goals, timelines and data complexity.
- Bioinformatics and multiomics analysis
- Biostatistics, survival analysis and Bayesian modelling
- AI and Machine Learning methods for biomedical datasets
- Microbiome, virome and spatial transcriptomics
- Reproducible reports, code and manuscript-ready outputs
Contact