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.

Originally from Spain, Dr. Irene L. Llorente joined the Neurosurgery Department at Stanford University in 2022. Following her undergraduate degree in Molecular Biology at the University of Leon in Spain, Dr. Llorente completed a MS in Molecular Biology and Biomedicine and a Ph.D. in Neuroscience between the Universities of Leon (Spain) and Florence (Italy). She conducted a postdoctoral fellowship in the Neurology Department at the David Geffen School of Medicine at UCLA where she also started her independent career as a Research Assistant Professor.

Dr. Shain uses computational and experimental methods to study language and the mind, particularly (1) the cognitive processes that allow us to understand the things we hear and read so quickly, (2) the learning signals that we leverage as children to acquire language from the environment, and (3) the role played by real-time information processing constraints in shaping language learning and comprehension.

Dr. Andreas Tolias's lab works on the interface of neuroscience and AI research. They combine systems and computational neuroscience with machine learning approaches to decipher the network level principles of intelligence focusing on perceptual inference and decision making. Engineering these principles in AI systems provides a powerful platform to mechanistically test our understanding of brain function under natural complex tasks and develop the next-generation of less artificial and more intelligent algorithms.

Dr. David Spiegel is Willson Professor and Associate Chair of Psychiatry & Behavioral Sciences, Director of the Center on Stress and Health, and Medical Director of the Center for Integrative Medicine at Stanford University School of Medicine, where he has been a member of the academic faculty since 1975, and was Chair of the Stanford University Faculty Senate from 2010-2011. Dr.

Dr. Tina Baykaner is an Assistant Professor in the Department of Internal Medicine, Division of Cardiovascular Medicine and Electrophysiology. Following internal medicine residency, cardiovascular medicine and advanced heart failure fellowship trainings at University of California, San Diego and electrophysiology fellowship at Stanford University, Dr. Baykaner joined Stanford University faculty in 2018.

Dr. Clete A. Kushida is a neurologist who specializes in the diagnosis and management of sleep related breathing disorders (e.g., obstructive sleep apnea), sleep-related movement disorders (e.g., restless legs syndrome), and parasomnias (e.g., sleepwalking, REM sleep behavior disorder). He is a neurologist, a Professor in the Department of Psychiatry and Behavioral Sciences at Stanford; Associate Chair, Division Chief, and Medical Director of Stanford Sleep Medicine; and Director of the Stanford Center for Human Sleep Research.

Dr. Ivana Maric is an Assistant Professor in the Pediatrics Department at the Stanford University School of Medicine. Her research focuses on applying machine learning to improving maternal and neonatal health. Her main focus has been on developing machine learning models for early prediction of adverse outcomes of pregnancy from omics and electronic health records data, that could guide development of low-cost, point of care diagnostic tools. Her main interest is in solutions that are applicable worldwide and especially in low-resource settings.

Dr. Gabriella Harari is an Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab.