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 & 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.

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.