Jaesub Park

Jaesub Park is an Associate Researcher at the Cambridge Stem Cell Institute, specializing in computational biology. He earned his Ph.D. in Bioinformatics from KAIST in 2023, where his research focused on identifying proteins associated with adverse drug reactions through network analysis and machine learning. With expertise in network analysis techniques, including graph embedding, diffusion algorithms, and pathway analysis. He applies these methods to heterogeneous biological networks to uncover disease-associated genes, proteins, and pathways.

His research interests lie in the development of computational methods for deciphering the mechanisms underlying complex diseases and identifying novel therapeutic targets. Currently, he is contributing to a project aimed at discovering biomarkers for Inflammatory Bowel Disease (IBD). This project leverages advanced computational approaches on both existing and newly generated molecular multimodal datasets derived from primary human tissue samples and patient-derived intestinal organoids. As part of a large, interdisciplinary team, he is developing molecular disease classifiers, identifying clinical biomarkers, and pinpointing potential therapeutic targets. Promising targets identified through this work are tested in patient-derived organoid models to evaluate their potential for further therapeutic development.