Celebrating CBB Graduates: Shaping the Future of Biomedical Data Science
Yale’s Computational Biology and Bioinformatics (CBB) program recently celebrated the graduation of a new class of PhD scholars whose work exemplifies the program’s commitment to interdisciplinary excellence. From clinical artificial intelligence applications to molecular aging clocks, these graduates are advancing science at the intersection of computation, biology, and medicine.
Raghav Sehgal, PhD ’25
Developed SystemsAge, a novel multi-omic framework that quantifies aging across 11 physiological systems from a single blood draw. The model is already in clinical use and earned Sehgal recognition on the Forbes 30 Under 30 list for health care.
Huan Li, PhD '25
Focused on improving clinical workflows using real-world electronic health record data. Her work harnesses machine learning to reduce diagnostic error and guide hospital operations, helping build more human-centered, equitable health systems.
👉 Read more about Huan's work in Graduate Spotlight: Huan Li's Journey Through Yale's CBB PhD Program.