Responsible AI for Health Symposium

Atul Gawande, MD, MPH, is a surgeon, author, and public health leader. He holds the John and Cyndy Fish Chair in Surgery at Brigham and Women’s Hospital and is a professor at Harvard Medical School. He previously served as Assistant Administrator for Global Health at USAID and has led major health innovation efforts including Ariadne Labs, Lifebox, and Haven.

David C. Rhew, MD, is Global Chief Medical Officer and VP of Healthcare at Microsoft and an Adjunct Professor at Stanford University. A physician and health technology leader, he holds six U.S. patents and has held senior leadership roles at Samsung and Zynx Health.

Leo Anthony Celi, MD, MPH, is a physician–scientist with global experience in healthcare delivery. He is Clinical Research Director and Principal Research Scientist at MIT’s Laboratory of Computational Physiology, where his team built and maintains the widely used MIMIC ICU dataset, uniting clinicians and data scientists worldwide.

Michael Tanana, PhD is Co-Founder and Chief Technology Officer at Lyssn, and a data scientist, machine learning researcher, and software engineer with two decades of experience building tools to improve behavioral health outcomes. His work focuses on machine learning and natural language processing, outcome evaluation, and deploying deep learning models in production systems to support clinical practice.

Michael D. Abramoff, MD, PhD, is a retina specialist, computer engineer, and neuroscientist. He is Watzke Professor of Ophthalmology and Electrical and Computer Engineering at the University of Iowa and Founder and Executive Chairman of Digital Diagnostics, the first company to receive FDA clearance for autonomous AI in medicine, advancing regulatory pathways and clinical evidence for AI-driven care.

Alexis Battle, PhD, is the Wu and Zhang Professor of Biomedical Engineering and Computer Science at Johns Hopkins University and Director of the Malone Center for Engineering in Healthcare. A leader in genomic data science, her research applies machine learning to large-scale health and genomic data to understand how genetic and environmental variation influence gene regulation and disease risk.

Born in El Salvador and raised in Cambridge, Massachusetts, Hector Acevedo is a community advocate and civic leader dedicated to expanding access to civic engagement, workforce development, and leadership opportunities. Guided by his belief in “by any DREAMS necessary,” he works to uplift his community through advocacy and service.

Charles Senteio, PhD, MBA, MSW,  is a health informatics researcher focused on investigating the drivers of persistent health inequities, and developing solutions so address them. He is an Associate Professor at the Rutgers School of Communication and Information in the Department of Library and Information Science. For the 2020-2021 academic year, he was a visiting assistant professor at MIT Sloan School of Management as a MIT MLK Visiting Scholar.

Aisha Rahim, MD, FHM  is a nationally recognized healthcare executive, digital health strategist, and trailblazer in ethical AI governance. As Medical Executive and Director at Johns Hopkins Health Plans (JHHP), she leads enterprise-wide strategy at the intersection of clinical excellence, technology, and health equity.