Julie Lee, MD, is a board-certified internal medicine physician and clinical informaticist at Stanford. She completed her undergraduate studies at Columbia, earned her medical degree at the University at Buffalo, and finished her internal medicine residency at UC Riverside. Dr. Lee focuses on integrating AI into clinical practice to improve patient outcomes, streamline workflows, and ensure health equity. She leverages mixed methods research and design thinking to create innovative, human-centered solutions in healthcare.

Andrew S. Parsons, MD, MPH, FACP is an associate professor of medicine and practices as an internal medicine hospitalist at the University of Virginia (UVA). As Associate Dean for Clinical Competency for UVA School of Medicine, he oversees the teaching, assessment, and remediation of clinical skills across the four-year medical student curriculum. Within UVA’s Division of Hospital Medicine, he serves as Director of Research and Academic Advancement.  His research is focused on clinical reasoning, specifically management reasoning in education and clinical practice, including the use of AI to improve effectiveness and efficiency. Dr. Parsons leads UVA’s Clinical Reasoning Research Collaborative (CRRC), a physician research group aiming to improve reasoning education and positively impact patient care.

Eric Strong is an adult hospitalist with Stanford Healthcare, and a Clinical Associate Professor at Stanford School of Medicine. At the medical school, he serves as an associate course director for the school’s 6 semester doctoring course, in which his area of focus has been clinical reasoning and the evidence-based physical exam. He is also part of the school’s Educators-4-CARE learning community in which he has the privilege of being a clinical and professional mentor to five students each year, who he follows for their entire school experience. Prior to becoming a physician, Eric graduated from MIT with a degree in biology, and attended NYU for medical school. He is the founder and content creator for Strong Medicine, an educational YouTube channel which provides free, on-demand videos for healthcare professionals and those in training.

Vishnu Ravi, MD is an internal medicine physician, software engineer, and clinical informaticist who serves as Technology Architect for Stanford Medicine Catalyst and Lead Architect for Digital Health at Stanford's Mussallem Center for Biodesign. He has designed and implemented many AI-driven healthcare innovations including platforms for Parkinson's care, cardiovascular disease management, and precision pharmacogenomics. He co-founded Stanford Spezi, an open-source framework used globally for building standards-based digital health solutions. Alongside his technology work, he teaches CS342 Building for Digital Health at Stanford and maintains an active clinical practice providing primary care.

Yingjie is a senior biostatistician and the assistant director of the learning health systems program at Quantitative Sciences Unit, Stanford University of Medicine. She specialized in the integration of real-world evidence in clinical and public health research. Her expertise is in designing, implementing, and disseminating clinical research using diverse real-world databases, such as Electronic Health Records (EHRs), claims data, and registry databases. Yingjie’s proficiency extends to pragmatic trials, including evaluating innovative intervention (e.g. best practice alert, AI-driven tools, etc) in the health systems to improve patient’s care.Yingjie's work in these areas encompasses study design, data management, statistical analysis planning, and the submission of regulatory statistical documents to government agencies.

David JH Wu, MD is a resident physician in Radiation Oncology at Stanford. He completed his medical training at the University of Minnesota. His previous research work has focused on clinical applications of large language models and imaging applications of deep learning models. He was previously the host of the Medicine and Machine Learning (MaML) Podcast. Fun fact: He is one of many David Wu’s in medicine and befriended the other David Wu of ARISE while working in a neuroscience lab at UCSF.

Jessica Tran, MD is a Clinical Assistant Professor of Medicine and hospitalist at Stanford University. She is actively engaged in clinical care, quality improvement, and research with a focus on the safe and effective integration of artificial intelligence into medical practice.