School of Medicine
Showing 1-10 of 393 Results
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly Interests Statistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
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Debra Safer MD
Associate Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)) at the Stanford University Medical Center
Current Research and Scholarly Interests Primary 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 at the Stanford University Medical Center
Current Research and Scholarly Interests Dr. 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.
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Julien Sage
Professor of Pediatrics (Hematology/Oncology) and of Genetics
Current Research and Scholarly Interests We 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.
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Manish Saggar
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly Interests The overarching goal of my research is to develop reliable computational methods that will allow for characterizing and modeling temporal dynamics of brain activity, without averaging data in either space or time. I firmly believe that the spatiotemporal richness in brain activity might hold the key to finding the person- and disorder-centric biomarkers. I am currently developing methods to model the temporal dynamics of brain activity in individuals with fragile X syndrome and healthy controls.
