Dr. Lay Teng Ang earned her Ph.D. jointly from the University of Cambridge and A*STAR and was subsequently appointed as a Research Fellow and, later, a Senior Research Fellow at the Genome Institute of Singapore. She then moved her laboratory to Stanford University as a Siebel Investigator and Instructor at the Stanford Institute for Stem Cell Biology & Regenerative Medicine. The Ang laboratory has been supported by the Siebel Investigatorship, California Institute for Regenerative Medicine, and other sources.

Theo Roth, MD PhD, was born in St. Louis, Missouri and grew up in Birmingham, Alabama before completing his undergraduate degree in Biology with Honors at Stanford University, along with a coterminal Master's degree in Biomedical Informatics. He completed his MD/PhD training in the Medical Scientist Training Program at the University of California, San Francisco. During his PhD work at UCSF with Dr.

Dr. Renumathy Dhanasekaran is an Assistant Professor in the Division of Gastroenterology and Hepatology at the School of Medicine, Stanford University. Her primary research goal is to explore the molecular biology of liver cancer in order to identify novel biomarkers and molecular-targeted therapies. She conducts basic and translational research to understand the molecular mechanisms of liver cancer metastasis and dormancy using mouse models of liver cancer.

Dr. Nicole Martinez's lab is broadly interested in RNA-based mechanisms of gene regulation. Precise control of gene expression at the level of messenger RNA processing is necessary for organismal development, required for response to environmental cues and its dysregulation is the basis of many diseases. The lab is keen to uncover mechanisms that control alternative mRNA processing and their downstream consequences on gene expression and cell physiology.

Dr. Moses Charikar is the Donald E. Knuth professor of Computer Science at Stanford University. He obtained his PhD from Stanford in 2000, spent a year in the research group at Google, and was on the faculty at Princeton from 2001-2015.

Dr. Tammy Sirich's research is focused on dialysis and accumulated (uremic) solutes.  She conducts studies testing ways to reduce levels of uremic solutes and examining the contribution of uremic solutes to the clinical manifestations of kidney disease.  Dr. Sirich uses mass spectrometry techniques to quantify uremic solutes and identify new solutes.

Zinaida Good, Ph.D., is an Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Center for Biomedical Informatics Research at the Stanford University School of Medicine and the Director of the Cancer Cell Therapy Data Hub at the Stanford Center for Cancer Cell Therapy. Dr. Good's  research program is focused on understanding and enhancing engineered T cell immunotherapies for cancer, immune-mediated diseases, and transplantation.

Dr. Patricia Rodriguez Espinosa, PhD., MPH, is a native of Habana, Cuba, and clinical psychologist by training. She is an Assistant Professor in the Department of Epidemiology and Population Health and also serves as the Associate Director of Research for the Office of Community Engagement at Stanford Medicine. The ultimate goal of her research is to decrease health inequities among racial/ethnic minority populations, particularly Latinxs and immigrant communities, through transdisciplinary and community-engaged scholarship.

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.