Summary
Francisco Requena is a founder and computational biologist with nine years of experience building AI-driven tools for life sciences, currently leading Candela Labs to deliver custom LLM-powered automations and workflows for web and enterprise environments. He blends deep domain expertise from a PhD in Clinical Bioinformatics with hands-on engineering—React, PostgreSQL, FastAPI, and Docker—to connect patient-level data with scalable clinical trial matching and drug target prioritization. At Weill Cornell he built an LLM framework that matches patients to trials in minutes and led a genome-wide prioritization effort for Alzheimer’s, while his PhD work produced robust ML tools (CNVxplorer, CNVscore) for clinical CNV interpretation. Comfortable moving research into production, he combines rigorous genomics methods with practical software delivery and an entrepreneurial drive informed by freelance engineering and international training across Spain and France.
9 years of coding experience
Master's Degree in Bioinformatics and Computational Biology, Master's Degree in Bioinformatics and Computational Biology at Universidad Autónoma de Madrid
Doctor of Philosophy - PhD Clinical Bioinformatics, Doctor of Philosophy - PhD Clinical Bioinformatics at Université Paris Cité
Master in Translational Research and Personalized Medicine, Master in Translational Research and Personalized Medicine at Universidad de Granada