School of Medicine
Showing 511-520 of 666 Results
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Samuel Rodriguez, MD
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Sam Rodriguez is a native of New Jersey and practicing Pediatric Anesthesiologist at Stanford Children's Hospital. He is best known for being the husband of the Stanford Cardiologist Dr. Fatima Rodriguez. Sam was a member of the self proclaimed greatest Anesthesia Residency Class in history (MGH 2012). He is a founder and co-director of the Stanford CHARIOT Program which creates and studies innovative approaches to treating pediatric pain and stress through technology. The CHARIOT Program has positively impacted thousands of children around the world and has grown to include emerging technologies like virtual reality, augmented reality, and interactive video games. Dr. Rodriguez is also highly involved in medical humanities education at Stanford Medical School and teaches courses at the undergraduate and graduate levels on how studying art can make better physicians.
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Nidhi Rohatgi, MD MS
Clinical Professor, Medicine
Clinical Professor (By courtesy), Neurosurgery
Clinical Professor (By courtesy), Anesthesiology, Perioperative and Pain MedicineBioNidhi Rohatgi, MD, MS, SFHM, is a Clinical Professor of Medicine and (by courtesy) Neurosurgery and Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine. She is Affiliate Faculty at Stanford's Center for Artificial Intelligence in Medicine and Imaging (AIMI), Institute for Human-Center AI (HAI), and Center for Digital Health.
Dr. Rohatgi's work focuses on what makes clinical interventions, and increasingly AI, succeed or fail in real-world care. She has written on LLMs for clinical text summarization and pharmacogenomics, multimodal in-context learning (NeurIPS 2025), the promises and limitations of AI, and digital twins for surgical site infections (IISE/ANNSIM 2026). Her current interests include real-world evaluation and implementation of AI across the care continuum, and identifying where AI can improve outcomes and reduce cost. She collaborates with clinicians, engineers, health systems, and industry partners on translating AI into safe, effective clinical practice. She delivered the keynote on Engineering AI for Real Clinical Impact at the 2026 IEEE International Conference on Sustainability, Innovation, and Technology. In her upcoming book, she shares a blueprint for AI in medicine: where AI can help and how, global health AI trends, and tackling costs.
Her perspective is grounded in more than a decade of leading and scaling clinical programs at Stanford. For over 10 years, she has led Clinical Advice Services in Patient Experience as Medical Director, developing evidence- and consensus-based clinical decision support for clinical triage across 30+ medical and surgical subspecialties and 200+ clinics (~1 million calls/year). Under her leadership, this award-winning service has built a strong track record in patient safety, reduced unnecessary ED and clinic visits, and reduced pages to on-call teams by over 90%. She also served as Chief of Surgical Co-management for Neurosurgery, ENT, and Orthopedic Surgery, Co-Director of Clinical Research in Hospital Medicine, and Physician Lead of Stanford Health Care's Readmissions Committee.
Dr. Rohatgi has authored peer-reviewed articles in high-impact journals (NEJM, Lancet, JAMA, Nature, Annals of Surgery) and book chapters in Perioperative Medicine, and has served as principal investigator and co-investigator for NIH and industry-sponsored trials. She is Editor-in-Chief of JMIR Perioperative Medicine and serves on the Editorial Board of Brown University's Journal of Hospital Medicine. A global advisor on surgical co-management models, she chaired the Society of Hospital Medicine's Global Technical Advisory Committee on co-management and has served on multiple national committees in research, quality and patient safety, perioperative medicine, and practice management. Recognized as a Top Hospitalist by the American College of Physicians, she has received numerous national and international awards for clinical care, quality improvement, teaching, and research, and has been an invited faculty and keynote speaker at regional, national, and international meetings.
Her unique lens spans clinical experience managing patients in medical and surgical specialties, research on millions of patient records, clinical trials, patient experience, clinical triage, and health system operations. Dr. Rohatgi is passionate about innovative, value-based, sustainable solutions and exploring new frontiers in healthcare. -
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. -
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.
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Alexandra Ruan
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Alexandra Ruan is currently a Clinical Assistant Professor in the Department of Anesthesiology, Pain and Perioperative Medicine at Stanford University. She obtained her undergraduate degrees in Public Health and History of Science at The Johns Hopkins University, and subsequently returned to California for medical school at the University of Southern California Keck School of Medicine, where she graduated with a Distinction in Research in 2016. She completed her anesthesiology residency at Stanford University, where she was elected and served as Chief Resident during her CA-3 year.
Since graduating from residency, she stayed at Stanford Anesthesia, joining the Multi-Specialty Division (MSD), and completed an advanced clinical proctorship to join the liver transplant anesthesia group, a small select group of anesthesiologists within the MSD who also care for the patients undergoing liver transplantation.
Beyond clinical care, Dr. Ruan has authored several publications during her training, including most recently a review of anesthesia for robotic thoracic surgery, and continues to be involved in several scholarly projects. She has an interest in physician well-being, and is currently studying sleep disruption during resident night float. She also serves on the Stanford MD Admissions Panel as both a file reviewer and traditional interviewer.
You can follow her on Twitter: @RuanAlexandra
