Stanford University
Showing 24,331-24,340 of 35,011 Results
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Guillem Pratx
Associate Professor of Radiation Oncology (Radiation Physics)
Current Research and Scholarly InterestsThe Physical Oncology Lab is interested in making a lasting impact on translational cancer research by building novel physical tools and methods.
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David Preece
Affiliate, Psychology
BioDavid A. Preece, PhD, is a Fulbright Scholar affiliated with the Stanford Psychophysiology Laboratory. His main research and practice interests are in assessing, conceptualising, and treating emotional disorders (e.g., depression, anxiety, loneliness). Much of his research focuses on the key role that emotional awareness (alexithymia) and emotion regulation difficulties play in a variety of mental health issues, and how this understanding can be harnessed to design and improve treatment approaches.
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Molleigh Preefer
Assoc Sc - MatSci Hard X-ray, Stanford Synchrotron Radiation Lightsource
BioDr. Molleigh Preefer is an Associate Staff Scientist at the Stanford Synchrotron Radiation Lightsource (SSRL). She initially worked at SSRL as a postdoctoral researcher using X-rays to study batteries through a combination of microscopy, diffraction, and spectroscopy. Her current research focus as associate staff scientist is studying electrochemical systems and synthesis, with a particular interest in enabling operando X-ray experiments when materials are pushed far from equilibrium. In addition to her research interests, she supports the transmission X-ray microscopy beamline (BL6-2) and the battery user program on the diffraction beamlines within the Materials Sciences Division.
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Carl Preiksaitis
Clinical Assistant Professor, Emergency Medicine
BioDr. Carl Preiksaitis is a Clinical Assistant Professor of Emergency Medicine at Stanford University School of Medicine, where he directs the Human Experience and Advancement Lab (HEAL). His research examines how artificial intelligence and digital technology are reshaping the future of work and training in emergency medicine — spanning human-AI interaction in clinical environments, the cognitive and relational impact of AI tools on physicians, and educational informatics. Using large-scale EHR and administrative data, he studies how AI changes the way emergency physicians think, document, and develop expertise over time.
His work has been published in Nature Medicine, NEJM Catalyst, and Annals of Emergency Medicine, and is funded by the Society for Academic Emergency Medicine, the American Medical Association, and the National Library of Medicine.
Nationally, Dr. Preiksaitis serves as Associate Editor of the Journal of Graduate Medical Education and leads AI initiatives at the Society for Academic Emergency Medicine. At Stanford, he directs the Medical Education Residency Track and leads the graduate medical education curriculum in the Department of Emergency Medicine.
Dr. Preiksaitis earned his MD from NYU Grossman School of Medicine, completed his emergency medicine residency and medical education fellowship at Stanford, and holds a Master of Education from the University of Cincinnati.
