Héctor Climente-González

With over 13 years of experience in computational biology and applied statistics, I apply AI/ML to drug discovery, with a focus on genetics, explainable ML, and systems biology.

Prior to joining Isomorphic Labs, I served as Systems Biology Lead at Novo Nordisk, where I developed solutions for target identification and maturation.

Following a double degree in Biotechnology and Biochemistry and a Master’s in Bioinformatics, I specialized in AI/ML applications to biology, particularly graph-based methods for genetic studies (PhD at CBIO with Chloé-Agathe Azencott) and novel AI/ML methods for feature selection (Postdoc at RIKEN AIP with Makoto Yamada). Check out my publications and GitHub profile for more details.

I’m an advocate for reproducible research and well-engineered research solutions, with a focus on Nextflow pipelines. I’m detail-oriented, proactive, and wired to fix what’s broken—ideally before anyone else notices.