Stanford University
Showing 14,161-14,170 of 34,678 Results
-
Prerak Juthani
Clinical Assistant Professor, Medicine
BioPrerak Juthani is a Bay Area native and completed his undergraduate studies at UC Berkeley, where he graduated summa cum laude and double-majored in Molecular Biology and Public Health. He then went on to Yale where he was able to bridge his love of medicine and entrepreneurship by completing the joint MD-MBA program. Afterward, he was lucky enough to come back home to complete his Internal Medicine residency at Stanford.
He is fascinated by medicine and how all the organ systems come together to create the human experience. He conducts research related to clinical outcomes in patients with Diabetic Foot Infections and also participates in various quality improvement initiatives in the hospital. Specifically, he is the co-founder of "The Kindness Coalition," which works to foster kindness among healthcare workers in order to create a more inclusive and collaborative healthcare environment.
Outside of the hospital, Prerak has a Youtube channel where he creates videos to increase transparency of what it’s like to be a medical student and resident; he also has a podcast called Red, White & Brown, which provides an insight into the novel immigrant experiences of first-generation South Asian immigrants. He is an active runner/marathoner, avid reader, and proud dog dad. -
Nicholas Hedemann Juul
Instructor, Medicine - Pulmonary, Allergy & Critical Care Medicine
Current Research and Scholarly InterestsMolecular and cellular biology of the distal lung
High altitude medicine -
Neda Kaboodvand
Basic Life Res Scientist, Neurosurgery
Current Role at StanfordNeda Kaboodvand, PhD, is an Applied Research Scientist at Stanford University School of Medicine. Her research lies at the intersection of artificial intelligence, behavioral science, and clinical research, with a focus on using multimodal data to understand human behavior and improve clinical decision-making. She designs and leads experimental and observational studies and develops machine learning, statistical, and computational models to evaluate interventions, predict outcomes, and support personalized, adaptive approaches to care. A central part of her work involves modeling complex longitudinal and time-series data, including neural, electrophysiological, physiological, behavioral, imaging, and device-generated signals. By integrating these high-dimensional data sources, she develops models of patient and user state, identifies temporal patterns associated with outcomes and intervention response, and translates complex data into actionable insights for clinical and digital health systems.
