Dr. Ann Mullally is a physician-scientist and Division Chief of Hematology. Dr. Mullally received her MD from University College Dublin, completed residency at Johns Hopkins and fellowship in hematology/oncology in the Brigham/Mass General/Dana-Farber program. Prior to moving to Stanford in 2024, Dr. Mullally was a Principal Investigator at Brigham and Women’s Hospital and a clinical faculty member at Dana-Farber Cancer Institute for approximately 10 years. Dr. Mullally is actively involved in all aspects of patient-oriented research.

Dr. Brian Trippe is an assistant professor at Stanford in the Department of Statistics, with an affiliation in Stanford Data Science.

In his research, Dr. Trippe develops probabilistic machine learning methods to address challenges in biotechnology and medicine. Recently, his focus has been on generative modeling and inference algorithms for protein engineering.

Before joining Stanford, Dr. Trippe was a postdoctoral fellow at Columbia University in the Department of Statistics, and a visiting researcher at the Institute for Protein Design at the University of Washington.

Dr. Jason Ross is a physician-scientist in the Department of Radiation Oncology at Stanford University. He received his BS in Biological Sciences from Stanford University, where he conducted research in normal and cancer stem cell biology. He obtained his MD from Weill Cornell Medical College and his PhD from The Rockefeller University, where he studied breast cancer metastasis, as a member of the Tri-Institutional MD-PhD Program in New York City. He conducted postdoctoral research as a Kaplan Research Fellow with co-advisors Dr. Irving Weissman and Dr.

Dr. Sherri Rose is a Professor of Health Policy and Director of the Health Policy Data Science Lab at Stanford University. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on ethical algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation.

Dr. Trung Hoang Minh Pham is an Assistant Professor of Pediatrics (Infectious Diseases) and of Microbiology and Immunology at Stanford University. The Pham lab brings together immunology, tissue biology, microbiology, and genetics to study innate immunity and infection-induced tissue physiological adaptations. Their goal is to uncover mechanisms underlying tissue immunity and homeostasis that can be harnessed to eradicate infections, promote tissue resilience, and restore health after an infectious attack.

With a Ph.D. in artificial intelligence and computer vision and postgraduate training in biomedical imaging and computational neuroscience, Dr. Ehsan Adeli solves critical problems in healthcare and neuroscience.

Dr. Vanessa Barone studied molecular biology at Università delle Scienze di Torino, Italy and then pursued her PhD in the Carl-Philipp Heisenberg group at the Institute of Science and Technology Austria in Vienna, Austria. There she investigated how cell-cell contacts regulate cell differentiation of mesendodermal progenitors during zebrafish gastrulation, finding a positive feedback loop between cell-cell contacts and Nodal signalling that determines cell fate decisions.

Dr. Vayu Hill-Maini fell in love with cooking at a young age in his multicultural home in Stockholm, Sweden. He first moved to the U.S to work in restaurants, but the flavors, textures, and sensations of the kitchen eventually led him to scientific research. He received his B.A in Chemistry and Biology at Carleton College in 2015. He completed his PhD in Biochemistry from Harvard University in 2020, where he worked in the lab of Emily Balskus to characterize strains and enzymes from human gut microbiota responsible for the metabolism of drugs and dietary compounds.

Understanding mechanisms of metabolic regulation in physiology and disease forms the basis for developing therapies to treat diseases in which metabolism is perturbed. Dr. Haopeng Xiao devises novel mass spectrometry (MS)-based proteomics technologies, combined with data science, to systematically discover mechanisms of metabolic regulation over protein function. His strategies established the first tissue-specific landscape of protein cysteine redox regulation during aging, elucidating mechanisms of redox signaling in physiology that remained elusive for decades. Dr.

Dr. Guolan Lu's lab focuses on developing and integrating imaging, AI, and spatial omics technologies to uncover disease and therapeutic mechanisms. Their ultimate goal is to advance next-generation therapeutics to improve patient outcomes and cure diseases.