Stanford University
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Diana Suedbeck
Director for New Student Programs, Academic Advising Operations
BioDiana serves as the Assistant Director of New Student Programs in VPUE's Academic Advising. In her role, she is responsible for implementing the Approaching Stanford program, which provides support to first-year and transfer students as they transition to undergraduate life at Stanford. Being one of the first points of contact for these incoming students, Diana is focused on making sure they feel well-equipped to begin their academic experience at the university. Working alongside her New Student Programs team, Diana also supports the implementation of New Student Orientation for incoming students each fall.
Prior to Stanford, Diana worked in the non-profit sector after receiving a Sociology degree from Bethel University, a small liberal arts college in St. Paul, Minnesota. Outside of her organizational development work, Diana's passion for higher education grew as she coached women's lacrosse for Bethel's club team. -
Robin Sugiura
Director of Postdoctoral Training, Office of Postdoctoral Affairs
Current Role at StanfordDirector of Postdoctoral Training, Office of Postdoctoral Affairs
Director, Stanford PRISM -
Walter Sujansky
Adjunct Professor, Division of Computational Medicine
BioWalter Sujansky, MD PhD is an Adjunct Professor of Biomedical Informatics at the Stanford Center for Biomedical Informatics Research in the Stanford Department of Medicine. Dr. Sujansky co-teaches BMI-210 Modeling Biomedical Systems, where he lectures on a variety of topics, including deep neural networks, probabilistic reasoning, electronic health records, and health data integration and interoperability. He also advises students in the Biomedical Data Science Graduate Program, an interdisciplinary graduate and postdoctoral training program that is part of the Department of Biomedical Data Science. His research interests include the modeling of biomedical concepts based on formal logic and the engineering of features for biomedical machine learning algorithms.
Dr. Sujansky earned an M.D. and a Ph.D. in Medical Informatics from Stanford University, where his doctoral research addressed heterogeneous database integration and clinical decision support. He also earned a B.A. in Economics from Harvard University.
Dr. Sujansky is also the managing consultant at Sujansky & Associates, LLC, a consulting firm that specializes in the representation, management, and analysis of clinical data in information systems. In this capacity, his work focuses on the modeling of complex biomedical data related to patient phenotyping, clinical genomics, quality measurement, automated decision support, and machine learning. His firm has helped to develop shared computing resources such as the California Joint Replacement Registry and the Laboratory Interoperability Data Repository. The firm's clients include the federal and state governments, non-profit organizations, health information system developers, and drug/device manufacturers. Dr. Sujansky also provides forensic analysis of health information technologies for medical malpractice and intellectual property litigation.
