School of Medicine
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Dara Rouholiman
Affiliate, Anesthesia - Adult Pain Medicine
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. -
Anuradha Roy
Casual - Non-Exempt, Anesthesia - Adult Pain Medicine
BioAnuradha (Anu) Roy is the Project Manager for the NCCIH R01 Grant, Single Session Pain Catastrophizing Treatment Efficacy and Mechanisms Trial in Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford Medical School. Originally from the East Coast, she received her BS in Biomedical Engineering from the University of Virginia and her MSc in Public Health in Developing Countries from London School of Hygiene & Tropical Medicine. After years of working abroad in global public health, her research interest transitioned to the public health impact of chronic health conditions - in particular, chronic pain - and understanding the intersection of mind’s impact on health and well-being. For the past three years, on the R01, she has been running day-to-day operations and management of study recruitment, data collection/pre-processing, and reporting. In the near future, she plans to pursue a PhD in Clinical Psychology. In her spare time, Anu enjoys home/exterior design projects, spending time with her partner and dog, creating community, and finding the best food in the San Francisco Bay Area.
