Summary
Hector Climente-Gonzalez is a Senior Scientist with over a decade of experience applying AI/ML to genomics and drug discovery, specializing in genetics, explainable machine learning, and systems biology. He has driven systems biology and AI strategy roles at Novo Nordisk and now brings that expertise to Isomorphic Labs, focusing on target identification and maturation. Hector blends deep academic training—a PhD in Bioinformatics—with hands-on engineering of reproducible research pipelines (Nextflow, Apptainer, CI/CD) for large-scale genetics analyses. His research built novel graph-based and sequence-learning methods for variant interpretation and disease risk prediction, often leveraging biological networks to boost discovery. Detail-oriented and proactive, he’s known for fixing brittle research infrastructure before it breaks and for advocating well-engineered, reproducible science. Based in London, he combines production-focused deployments with a continued drive to translate cutting-edge ML methods into actionable drug discovery insights.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biochemistry, Bachelor's degree Biochemistry at Universitat Autònoma de Barcelona
MITx MicroMaster Statistics and Data Science, MITx MicroMaster Statistics and Data Science at MITx Courses
Master of Science (MSc) Bioinformatics for Health Sciences, Master of Science (MSc) Bioinformatics for Health Sciences at Universitat Pompeu Fabra
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at PSL Research University
Spanish, English, French, Catalan, Japanese