Stanford University
Showing 21,401-21,450 of 36,173 Results
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Joan Molitoris
Acad Research & Pgrm Officer, Language Ctr
Current Role at StanfordAssociate Director, Stanford Language Center
Lecturer in Spanish, Stanford Language Center -
Hylton Molzof, PhD, MPH
Clinical Assistant Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioDr. Molzof is a Clinical Assistant Professor and Licensed Psychologist in the Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine. She specializes in the assessment and treatment of sleep disorders via behavioral sleep medicine interventions, including Cognitive Behavioral Therapy for Insomnia (CBT-I) and positive airway pressure (PAP) desensitization. She also utilizes evidence-based techniques to help patients better manage circadian rhythm disorders, such as delayed sleep-wake phase disorder and shift work sleep disorder. Inspired by her background in public health, she has a strong interest in quality improvement and program development projects aimed at enhancing the quality and accessibility of sleep and circadian medicine for the diverse patient population served by Stanford Sleep Medicine Center.
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Arash Momeni, MD, FACS
Associate Professor of Surgery (Plastic and Reconstructive Surgery)
Current Research and Scholarly InterestsDr. Momeni's research focuses on clinical outcomes after microsurgical reconstruction, with a particular emphasis on VTE prevention.
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Shadi Momtahen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioShadi Momtahen holds a BSc and MSc in Computer Science and Engineering, and a Ph.D. in Mechatronic Systems Engineering from Simon Fraser University, where she collaborated with the BC Cancer Agency on deep learning applications for cancer detection and treatment. She previously served as a Postdoctoral Research Fellow in the Department of Medicine at the University of British Columbia, working with the International Collaboration on Repair Discoveries (ICORD) to develop machine learning models for biosensor-based health monitoring.
Currently, Shadi is a Postdoctoral Scholar at the Aghaeepour Lab at Stanford Medicine. Her research focuses on applying deep learning to large-scale medical datasets—including wearable vital signs—to identify clinically relevant patterns and enable predictive, personalized healthcare. -
Denise M. Monack
Martha Meier Weiland Professor in the School of Medicine
Current Research and Scholarly InterestsThe primary focus of my research is to understand the genetic and molecular mechanisms of intracellular bacterial pathogenesis. We use several model systems to study complex host-pathogen interactions in the gut and in immune cells such as macrophages and dendritic cells. Ultimately we would like to understand how Salmonella persists within certain hosts for years in the face of a robust immune response.
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Samsuzzoha Mondal
Research Assoc-Experimental, SLAC National Accelerator Laboratory
BioSamsuzzoha Modal is a Research Associate at SLAC National Accelerator Laboratory and a Ph.D. chemist specializing in advanced microscopy and biophysical chemistry. His research integrates protein engineering, structural biology, and quantitative imaging to understand how protein organization across length scales regulates biological activity, and to translate these mechanistic insights into therapeutic and diagnostic approaches.
Samsuzzoha earned his Ph.D. at the Tata Institute of Fundamental Research (Mumbai, India), where he developed chemical tools to image signaling phospholipid dynamics in live biological systems. He then completed postdoctoral training at the University of Pennsylvania (Philadelphia), building in vitro reconstitution models to study the molecular basis of membrane trafficking. Since 2023 at SLAC, he has been combining X‑ray crystallography, small‑angle X‑ray scattering, and advanced optical methods to uncover design principles for quantum biosensing tools and to support structure‑guided small‑molecule therapeutic development.
A committed educator and mentor, Samsuzzoha has taught bioanalytical chemistry and led diverse student teams, emphasizing inclusive, hands‑on training, reproducible data practices, and translational problem‑solving.
