Stanford University
Showing 931-940 of 1,205 Results
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Cristin Runfola
Clinical Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsDr. Runfola's research focuses on the epidemiology of dysregulated eating and weight concerns in undeserved populations and her primary interest is in developing and testing the efficacy of clinical interventions designed to improve outcome for eating disorders.
With support from GFED, Dr. Runfola adapted the Uniting Couples in the treatment of Anorexia Nervosa (UCAN) therapy manual for couples in which one or both members have binge-eating disorder (UNITE) and recently completed pilot testing on this treatment. She is in the process of expanding this treatment for all couples affected by binge eating, and is submitting a grant to fund future work testing efficacy. -
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.
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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. -
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.
