School of Medicine
Showing 781-800 of 12,884 Results
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Glaivy Batsuli, MD
Associate Professor of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsHemophilia is a rare inherited X-linked bleeding disorder characterized by the deficiency of blood clotting proteins factor VIII or factor IX. These individuals are at risk for spontaneous bleeds and trauma or surgery-induced bleeding. There have been remarkable advancements in the management of hemophilia to prevent these bleeding episodes and improve quality of life. However, the presence of neutralizing antibodies, called inhibitors, still dictates access to novel therapies such as factor replacement for bleed management and now FDA-approved gene therapies. The Batsuli Lab is focused on elucidating mechanisms of the immune response to blood coagulation proteins in bleeding disorders in order to develop strategies and therapeutics for inhibitor prevention and tolerance induction.
Dr. Batsuli's clinical research interests also include clinical trial participation for novel therapeutics & interventions in bleeding disorders such as hemophilia and von Willebrand disease in addition to coagulation issues & outcomes in ultra-rare bleeding disorders and sickle cell disease. -
Alexandra Love Battaglini
Graphic Designer 1, Pediatrics - Adolescent Medicine
Current Role at StanfordGraphic Designer 1
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Eugene Bauer
Lucy Becker Professor in Medicine, Emeritus
Current Research and Scholarly InterestsDefining the role of matrix metalloproteinases in connective tissue remodeling of the skin. Defining the macromolecular structures of the cutaneous basement membrane zone. Developing methods for delivery of extracutaneous gene therapy in epidermolysis bullosa.
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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.
