School of Medicine
Showing 1-10 of 397 Results
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Raj Fadadu
Casual - Non-Exempt, Epidemiology and Population Health
BioRaj Fadadu is currently in his final year of medical school at the University of California, San Francisco (UCSF) School of Medicine and interested in pursuing a career in dermatology.
He has experience conducting epidemiology research projects, particularly related to environmental exposures and skin diseases (e.g., atopic dermatitis and psoriasis) and epigenetics (e.g., EWAS and epigenetic age acceleration). He also holds leadership roles in local and national organizations involved in climate change advocacy and education, working to improve community and patient health. In addition, he is a strong advocate for health equity and increasing access to medical care for people experiencing homelessness and has implemented innovative projects to do so while serving as an Albert Schweitzer Fellow and Director of student-run free clinics in Berkeley, CA. For his impactful work, he was named an Environmental Education "30 Under 30" in 2022 and received the Excellence in Climate Leadership Award from the American Public Health Association in 2022 and Emerging Physician Leader Award from Health Care Without Harm in 2021.
He received a M.S. degree in Health and Medical Sciences (with concentrations in Environmental Research and Healthcare Management) from the UC Berkeley School of Public Health and received a B.A. degree in Public Health from UC Berkeley (graduated with Highest Distinction and Research Honors). -
Afik Faerman
Postdoctoral Scholar, Psychiatry
BioAfik Faerman, Ph.D., is a clinical neuropsychology postdoctoral scholar and an NIMH T32 fellow at the Stanford Brain Stimulation Lab (PI: Nolan Williams) and the Center for Stress and Health (PI: David Spiegel). He completed his clinical training at the University of California, San Francisco (UCSF) and Baylor College of Medicine and earned his Ph.D. in clinical psychology with an emphasis in neuropsychology from Palo Alto University. His research centers on cognitive functioning and its intersection with behavioral health, focusing on brain stimulation, sleep, psychedelics, hypnosis, and performance. His work has been acknowledged and supported by the American Psychological Association (APA) Division 40 (Clinical Neuropsychology) and Division 19 (Military Psychology), the Sleep Research Society (SRS), the Society for Clinical and Experimental Hypnosis (SCEH), and more. He is president-elect of the APA Division 30 (Psychological Hypnosis), the past chair of the Student Committee at the Association for the Scientific Study of Consciousness (ASSC), and a past committee member of the SRS Trainee Education and Advisory Committee (TEAC).
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Gracia Fahed, MD
Postdoctoral Scholar, Cardiovascular Institute
BioDr. Fahed earned her medical degree from the American University of Beirut (AUB) in Lebanon. She graduated at the top of her class and was recognized for her outstanding academic achievements and compassionate patient care. Over the course of her medical studies, Dr. Fahed concentrated her research on understanding the pathophysiology behind endothelial dysfunction, hypertension and the metabolic syndrome. As a postdoctoral scholar in the Stanford Cardiovascular Institute, she now focuses on left ventricular diastolic dysfunction and early diagnosis of genetic cardiomyopathy, with a specific focus on transthyretin cardiac amyloidosis, a serious yet often overlooked cause of heart failure. Dr. Fahed aims to improve risk-stratification to enhance diagnostic care and improve cardiovascular outcomes.
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Robert Michael Fairchild
Assistant Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsDr. Fairchild’s research interests center on novel applications of ultrasonography in rheumatologic disease. Current active research endeavors include using ultrasound 1) to evaluate articular and soft tissue manifestations of systemic sclerosis, 2) to screen, detect and monitor of connective tissue disease associated interstitial lung disease, 3) and applying deep learning techniques to rheumatology ultrasound and imaging.
