School of Medicine
Showing 521-530 of 599 Results
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Dara Rouholiman
Affiliate,
BioDara Rouholiman is a machine learning research engineer at Stanford AIM Lab, where he develops and evaluates predictive and generative models for anesthesia and perioperative medicine. His current research focuses on LLM evaluation in clinical settings, deep learning for time-series forecasting, and ML-driven perioperative risk prediction using electronic health records.
His work on tool-augmented LLMs for clinical calculations was published in Nature's npj Digital Medicine (2025). Previously, he led ML development at COR, an at-home blood-monitoring device startup (3 patents filed), and co-founded Telesphora, whose opioid overdose prediction model was deployed with the Connecticut Department of Public Health. He holds a B.S. in physical chemistry from UC Santa Cruz and serves as Lead Instructor for Stanford SASI's Healthcare Innovation Internship. -
Larissa Roux MD PhD
Adjunct Professor, Medicine - Primary Care and Population Health
BioLarissa Roux is a sport medicine physician and health economist. She completed medical school at the University of Alberta, and followed this with residency training in family medicine and a fellowship in primary care sport medicine at the University of Calgary, as well as advanced training in lifestyle medicine. She combined her clinical training with a master’s in public health at Harvard, and a PhD in health economics at the University of Calgary. Her interest in public health and health policy resulted in a post-doctoral fellowship at the US Centers for Disease Control, in Atlanta in the Division of Nutrition and Physical Activity. Although she has deeply enjoyed working with athletes and dancers, her main clinical interest has been in the optimization of human performance in patients with chronic conditions, including obesity, arthritis, and trauma. Her academic and health policy work has focused on the economic evaluation of competing therapies for obesity, and population-level physical activity promotion strategies in the US and around the world. Larissa's interest in data science and technology applications in global health contributed to an ongoing health information technology venture. She believes that innovative, tailored, multidisciplinary, and multimodal approaches to chronic disease have transformative potential in human health.
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Corey Rovzar
Instructor, Medicine - Stanford Prevention Research Center
Current Research and Scholarly InterestsEnhancing human movement through scalable, remotely delivered physical activity interventions, remote assessment and monitoring of human movement, health technology development, fall prevention, aging, digital balance assessment, improving access to health and healthcare, increasing healthspan, lifestyle medicine
