BMIR is made up of world class leaders and researchers in biomedical informatics, translational science, and quantitative sciences.

Albert Chan, MD


Adjunct Professor
Chief of Digital Patient Experience, Sutter Health

Dr. Chan holds an MD from UC San DIego and completed his residency and chief residency in family medicine at the Stanford O'Connor Family Medicine Program.   He concurrently completed his MS in Biomedical Informatics at Stanford and a research fellowship at the family medicine research at UCSF in 2004.  While a MS Student at Stanford, Dr. Chan was an early member of the team that implemented the first Epic MyChart patient portal instance in the world.   

Dr. Chan is an expert in change management, navigation of complex health systems, implementation of health IT at scale, mentorship of healthcare leaders and digital health innovators.   His work has been recognized as a Fulbright Specialist and a 2017 Eisenhower Fellow, one of  20 U.S citizens selected annually to join a global network of leaders for change and named Becker's 105 Physician Leaders to Know in 2019.

Research Interests: health services research, digital health.

Michael Higgins, PhD


Adjunct Professor
Senior Direcor, Enterprise Analysis Corp.

Dr. Michael Higgins earned a BS in Mathematics and a BS Electrical Engineering at the University of Washington. He has an MS in Operations Research and a Ph.D. in Engineering-Economics from Stanford. He spent his career in industry developing healthcare information systems and medical devices. Dr Higgins returned to Stanford after retirement as an adjunct professor in 2010.

Research Interests: Utility models for time-varying outcomes, dynamic stochastic systems, cost-constrained clinical policies


Daniel Riskin, MD


Adjunct Professor
Chief Executive
Officer, Verantos

Dr. Riskin is Adjunct Professor of Surgery and Adjunct Professor of Biomedical Informatics Research with a MD from Boston University, residency in surgery at UCLA, and fellowship in critical care and acute care surgery at Stanford University. He is board-certified in four specialties, including surgery, critical care, palliative care, and clinical informatics. His business training includes an MBA with a focus in bioinformatics from the Massachusetts Institute of Technology and the Stanford Biodesign Innovation Fellowship.

Research Interests: healthcare quality, technology, and policy, with a focus on translational research

Walter Sujansky, MD, PhD


Adjunct Professor
President at Sujansky & Associates, LLC

Dr. Sujansky received his M.D. and Ph.D. in medical informatics at Stanford University and his undergraduate degree in economics at Harvard College. Dr. Sujansky is the President of Sujansky & Associates, a consulting firm that has specialized in the representation, analysis, and exchange of clinical data in information systems since 2003.

Research Interests: Clinical data modeling, clinical data standards, interoperability and health information exchange, clinical data integration and normalization, disease registries, clinical data warehouses, clinical decision support systems, statistics and machine learning, health data security and privacy, software development lifecycle processes, health I.T. policy, software intellectual property law

Justin Norden, MD


Adjunct Professor
Partner at GSR Ventures

Dr. Norden is a Partner at GSR Ventures investing in early-stage health technology startups. Prior to GSR Ventures, he was founder and CEO of Trustworthy AI which was acquired by Waymo (Google Self-Driving), worked on the healthcare team at Apple, co-founded Indicator (a data platform for biopharma), and helped launch the Stanford Center for Digital Health. Dr. Norden received an MD from the Stanford School of Medicine, an MBA from the Stanford Graduate School of Business, an M.Phil. in Computational Biology from the University of Cambridge, and a BA in Computer Science from Carleton College.

Research Interests: digital health, AI in healthcare, care model transformation, clinical outcomes with new technologies, evaluation of AI systems.