Joan Saurina

Joan Saurina i Ricós

AI Engineer & Computational Biologist

Bridging the gap between Artificial Intelligence and the Life Sciences. Currently mastering biological fundamentals to apply AI principles to the "code of life"—focusing on One Health, deep learning in genomics, and multimodal biological data.
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About Me

My academic journey began at the Polytechnic University of Catalonia (UPC), where I pursued a Bachelor’s degree in Artificial Intelligence. This foundation was significantly broadened through two international exchange semesters: first at the Technical University of Denmark (DTU) (Fall 2024), and subsequently at Stanford University (Fall 2025).

Driven by a desire to bridge code and biology, I have actively sought research opportunities. At the Stanford Biomedical Data Science Department, I collaborated with Prof. Alexander Ioannidis to accelerate genetic ancestry analysis using deep learning—initially remotely and later in person as part of my thesis work. In parallel, I worked at the Barcelona Supercomputing Center (BSC) under Dr. David Torrents, leveraging high-performance computing for large-scale genomic disease prediction, and explored computer vision at the Institute of Industrial and Control Engineering (IOC) under the supervision of Isiah Zaplana.

I am currently at the European Bioinformatics Institute (EMBL-EBI) in Cambridge. Under the supervision of Dr. Jessica Ewald, I am focusing on integrating large language models with Cell Painting data to predict drug toxicity.

Research & Publications

Reports & Thoughts