Dr. Nathan Reticker-Flynn is a Biomedical Engineer and tumor immunologist working at the interfaces of cancer metastasis, tumor evolution, adaptive immunity, and immuno-oncology. His work employs mouse models and systems biology and genetic engineering to investigate interactions between tumors and the immune system during cancer metastasis. He performed his PhD work in Biomedical Engineering with Dr. Sangeeta Bhatia at MIT where he studied glycobiology and ECM interactions during cancer metastasis and his postdoctoral studies with Dr.

Dr. Ryann Fame, PhD, joined the faculty at Stanford University in 2022. Following her undergraduate degree in Biology and Chemistry at the College of William & Mary, Dr. Fame completed a PhD in Molecular and Cellular Biology at Harvard University. She conducted postdoctoral fellowships at The Whitehead Institute for Biomedical Research at MIT and at Boston Children’s Hospital Pathology Department.  As a stem cell and developmental molecular biologist, Dr.

Dr. Ruth Huttenhain's group deciphers how G protein-coupled receptors decode extracellular cues into dynamic and context-specific cellular signaling networks to elicit diverse physiologic responses. They exploit quantitative proteomics to capture the spatiotemporal organization of signaling networks combined with functional genomics to study their impact on physiology.

As a physician-scientist, Dr. Anusha Kalbasi leads both clinical trials and laboratory research at the intersection of cancer and immunology.

Dr. Lunn is a physician-scientist investigating sexual and gender minority health and utilizing existing and emerging technologies to characterize the health and well-being of these underrepresented and vulnerable populations.

Dr. Luo's research interests include applying top-down mass spectrometry and label-free immunoassay to the study and utilization of biomarker proteoforms in clinical diagnosis.

Dr. Jonathan Taylor's research focuses on selective inference in signal detection problems. These can include how to correct for model search, assessment of significance of peaks in noise and simultaneous inference under structured models of error.

Dr. C. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Dr. Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Dr. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics.

Dr. Victoria Parikh is cardiologist specializing in the care of patients with inherited cardiovascular diseases. She completed clinical cardiology fellowship at Stanford School of Medicine and her medical residency at the University of California, San Francisco. Funded by research grant from the NIH, she currently studies multiple causes of cardiomyopathy in the laboratory. She has a particular clinical and scientific interest in inherited arrhythmogenic cardiomyopathies, which are an increasingly recognized disease entity. Dr.

Dr. Madeleine Udell is an Assistant Professor of Management Science and Engineering (MS&E), with an affiliation with the Institute for Computational and Mathematical Engineering (ICME).