Tess Cherlin

Tess is a computational biologist interested in understanding the complex factors underlying diseases. Her research uses data-driven methods to improve disease prediction, detection, and treatment by integrating multiomic data. Some of her current projects in the Setia-Verma lab investigate diseases affecting women across their lifespan like polycystic ovary syndrome (PCOS). In addition to her research, Tess is passionate about teaching and is a PennPORT scholar. Tess earned her PhD in Genetics, Genomics, and Cancer Biology from Jefferson University.