Stanford University
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Jaya Griscom
Affiliate, Stanford Arts Institute
BioJaya Griscom is a professional textile artist based in Palo Alto, CA. She is currently a Visiting Artist at the Stanford Arts Institute, working on the TC2 Loom in the PRL.
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Cornelius Botha Groenewald
Associate Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric)
BioDr. Groenewald is Director of Pediatric Anesthesiology Research at Stanford University School of Medicine. He conducts clinical research that crosses several areas related to child health, including epidemiology, health services research, pediatric pain, sleep deficiency, and opioid use behaviors. His research is funded by the National Institutes of Health, International Association for the Study of Pain, and the Society for Pediatric Anesthesiology. His work on pediatric pain, sleep disturbance, and opioid use has been published in JAMA Pediatrics, Pediatrics, PAIN, Journal of Pain, SLEEP, and JAMA Psychiatry. Dr. Groenewald holds national leadership positions in the United States Association for the Study of Pain, including being elected as inaugural Chair of the Pediatric Special Interest Group in 2020 and co-chair of the Advocacy committee in 2022. He serves on the editorial boards of the Journal of Pain and Pediatric Anesthesiology.
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François Grolleau
Postdoctoral Scholar, Biomedical Informatics
BioFrançois Grolleau MD, MPH, PhD is a Postdoctoral Scholar at the Stanford Center for Biomedical Informatics Research. His research work centers on developing and evaluating computational systems that use large language models and other advanced methods from statistics and machine learning to assist medical decision-making.
François is a certified Anesthesiologist and Critical Care Medicine specialist from France. He holds an MPH degree and a PhD in Biostatistics from Paris Cité University. In 2016/2017, he worked as a research fellow in the Department of Health Research Methods, Evidence, and Impact at McMaster University, Canada (Profs Yannick Le Manach and Gordon Guyatt). During his doctorate with Prof. Raphaël Porcher, he utilized causal inference, personalized medicine methods, and statistical reinforcement learning for medical applications in the ICU.
