Stanford University
Showing 801-810 of 13,034 Results
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Evan Baum, MD
Clinical Assistant Professor, Medicine
BioDr. Evan Baum is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University. He is an academic hospitalist whose work centers on medical education, point-of-care ultrasound, and the integration of innovative technologies into bedside care. He earned his MD from the Warren Alpert Medical School of Brown University and completed his residency at Stanford University.
Dr. Baum is deeply committed to advancing point-of-care ultrasound education and scholarship. He serves as Co-Director of the Longitudinal POCUS Curriculum for internal medicine residents and as Co-Director of Education for the Stanford Hospital Medicine POCUS group, where he leads faculty development initiatives. He has taught at national POCUS CME courses, including at UCSF and UT San Antonio.
His research focuses on clinical and educational applications of POCUS, particularly the use of artificial intelligence to enhance image acquisition, diagnostic accuracy, and trainee learning. He has co-led randomized trials evaluating AI-assisted cardiac ultrasound acquisition and educational outcomes.
Dr. Baum is an active educator across the continuum of training, teaching clinical reasoning, physical diagnosis, and bedside ultrasound to medical students, physician assistant students, and residents. He is a Rathmann Family Foundation Fellow in Medical Education, where he is developing and evaluating a patient-centered communication framework to improve code status discussions.
Through his clinical work, scholarship, and leadership, Dr. Baum seeks to strengthen bedside medicine by combining rigorous education, thoughtful mentorship, and emerging technologies that improve diagnostic precision and patient-centered care. -
Fiona Baumer
Assistant Professor of Neurology (Pediatric Neurology)
Current Research and Scholarly InterestsCauses of Disturbed Cognition in Pediatric Epilepsy
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Mohsen Bayati
Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering and of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications.
