School of Medicine
Showing 21-40 of 1,337 Results
-
Sina Sadeghzadeh
MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2026
BioSina was born in Tehran, Iran and raised in Zanjan, Iran. He came out to Massachusetts to attend Harvard University where he obtained his undergraduate degree cum laude in Neuroscience with a secondary in Economics. In college, Sina conducted wet-lab research under the supervision of Dr. Hugo Bellen, worked as a legal intern in Levy Firestone Muse LLP, and served as a research assistant for Drs. Francis Shen, Steven Levitsky, and Jennifer Hochschild. Sina moved to California (by bike!) to begin medical school at Stanford where he is currently pursuing clinical and basic science research opportunities in the neuroscience domain. Outside of medical school, Sina is an avid cyclist, enjoys going on walks, doing yoga, and learning to salsa dance.
-
Joel Anthony Sadler
Adjunct Lecturer, Surgery - Anatomy
BioDr. Joel Sadler, is an educator at Stanford University, serial entrepreneur, and XR + AI technology expert. As adjunct faculty at Stanford he teaches STEAM courses exploring how virtual and augmented reality VR and AI can empower the next generation of creative learners. His research at MIT/Stanford has ranged from wearable prosthetics to educational toys. He is a co-founder of several award winning technology companies including Piper Learning and PatchXR, that pioneer learning skills through AI guidance and virtual play. He holds ME/CS degrees from MIT/Stanford and has over 20 publications on the themes of creative computing, and making technology more accessible for all.
-
Aim-On Saengsirinavin
Affiliate, Ophthalmology Research/Clinical Trials
BioCLINICAL RESEARCH FELLOW IN MEDICAL RETINA AND UVEITIS, OPHTHALMOLOGY RESEARCH/CLINICAL TRIALS
-
Rebecca Saenz
Clinical Assistant Professor, Pediatrics - Immunology and Allergy
Current Research and Scholarly InterestsAllergy, Immunology, Bioengineering and Biodesign
-
Samuel Ricardo Saenz
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Sam Saenz was born in the Bay Area and received his bachelor’s degree in psychology from Stanford University. He completed his medical degree at UC Irvine’s Program in Medical Education for the Latino Community, and he also obtained a Master’s in Public Health from UC Berkeley. After serving as chief psychiatry resident during his psychiatry residency at Stanford, he completed a fellowship in public psychiatry at UC San Francisco. His professional interests include fostering the next generation of diverse mental health providers and community advocacy.
-
Debra Safer
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)
Current Research and Scholarly InterestsPrimary research interests include the nature and treatment of eating disorders
(particularly bulimia nervosa and binge eating disorder), the development and treatment of obesity, and the development and treatment of problematic eating patterns in patients following bariatric surgery. -
Marc R. Safran, MD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Safrans practice focuses on arthroscopic management of hip problems as well as articular cartilage regeneration, shoulder surgery and athletic shoulder and elbow problems. He is actively involved in research in these areas.
-
Julien Sage
Elaine and John Chambers Professor of Pediatric Cancer and Professor of Genetics
Current Research and Scholarly InterestsWe investigate the mechanisms by which normal cells become tumor cells, and we combine genetics, genomics, and proteomics approaches to investigate the differences between the proliferative response in response to injury and the hyperproliferative phenotype of cancer cells and to identify novel therapeutic targets in cancer cells.
-
Manish Saggar
Associate Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsWe are a computational neuropsychiatry lab dedicated to developing computational methods to better understand brain’s overall dynamical organization in healthy and patient populations. We employ algorithms from a wide range of fields, including Applied Mathematics, Econometrics, Machine Learning, Biophysics, and Network Science.
