Stanford University
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Eitan Yaffe
Affiliate, Medicine - Med/Infectious Diseases
BioDr. Eitan Yaffe is a computational biologist studying the evolution of natural microbial communities under selective pressures, such as antibiotics. He is currently a research associate in the lab of Dr. David Relman at Stanford University, where he develops experimental and computational approaches to investigate strain dynamics, horizontal gene transfer, and the emergence of antimicrobial resistance in the human microbiome.
Dr. Yaffe holds a PhD in Computer Science from the Weizmann Institute of Science, where he focused on epigenetics and chromatin folding. He earned his MSc in Computer Science with a specialization in the 3D structure of protein channels, and his BSc in Mathematics and Computer Science from the Hebrew University of Jerusalem. -
Lisa Yamada
Software Developer 2, SoM - CNC - Cracking the Neural Code
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.
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Natsuhiko Yamada
Affiliate, Medicine - Med/Family and Community Medicine
BioNatsuhiko Yamada is a pediatrician and AI researcher at National Center for Child Health and Development (NCCHD), Japan. As a clinician, he cares for critically ill pediatric patients referred and transported from across Japan, and has reported a novel genetic mutation in hematologic disease. At NCCHD Research Institute, he serves as Principal Investigator, leading AI predictive modeling research using real-world clinical data in collaboration with Japan Institute for Health Security.
He is also pursuing a Master of Public Health at Johns Hopkins Bloomberg School of Public Health. He has contributed to global burden of disease studies with researchers across the globe. Previously, at Institute of Science Tokyo, he published on cancer metabolism and was awarded a WILEY Top Cited Article. In 2026, he was selected as a Stanford CARE Scholar at Stanford University School of Medicine.
Beyond research, he has demonstrated strong global health leadership. As Project Lead at the World Economic Forum Global Shapers Community, he led policy proposals for Okinawa Prefecture, the poorest prefecture facing a health crisis in Japan. He collaborated with Okinawa Medical, Nursing, Dental, and Pharmaceutical Associations and professors across Japan, and potentially impacted an estimated 1.5 million residents. He also served on the Committee for Shaping a New World at Expo 2025 Osaka, Kansai, Japan, moderating a flagship session to redefine the future of mental health in 2050.
He envisions a world where every child and every person can enjoy sound health, regardless of where they are born or live, at the intersection of clinical medicine, molecular biology, public health, and artificial intelligence.
