Romain Pirracchio, M.D., MPH, Ph.D, FCCM

Job title: 
Chief of Anesthesia
Department: 
University of California San Francisco, Department of Anesthesia and Perioperative Care
Bio/CV: 

Dr Pirracchio is a M.D., MPH, Ph.D., hailing from Paris. He obtained his M.D. in 2003, with a specialization in Anesthesiology and Critical Care Medicine. In 2008, he obtained an MPH and completed his doctoral studies in Biostatistics in Paris, France in 2012. In 2012-2013, he spent a year as a postdoctoral fellow in Biostatistics in the School of Public Health at the University of California, Berkeley. Back in Paris, he was the clinical director of the surgical and trauma ICU at European Hospital Georges Pompidou (2013-2015) and a researcher in Biostatistics with the INSERM U-1153 unit. In 2015-2016, he spent 18 months in the Department of Anesthesia and Perioperative care at the San Francisco General Hospital & Trauma Center (UCSF) as Visiting Associate Professor. In September 2016, he went back to Paris to serve as Full Professor and Chair for the Department of Anesthesia and Critical Care Medicine at European Hospital Georges Pompidou in Paris. Since 2018, he is now Professor of Anesthesia and Critical Care, Professor of Biostatistics at UCSF. He is the chief of Anesthesia and Perioperative Care at ZSFG and vice chair in the department of anesthesia and perioperative medicine at UCSF. ​In 2019, he became the first recipient of the Ronald D. Miller Distinguished Professorship, Anesthesia and Perioperative Medicine, UCSF. Since 2023, he is the AI Associate Editor for JAMA.

His two main research areas are clinical research in Anesthesiology and Critical care Medicine and applied research in Biostatistics. In Biostatistics, he is broadly interested in problems of predictive analytics, machine learning and causal inference. Since 2018, he is leading a UCSF-UC Berkeley research lab that focusses on the development of AI algorithms for clinical decision support in acute care and critical care.

Research interests: 

Clinical AI, Clinical Decision Support, Heterogeneity of Treatment Effect, Algorithm Impact Study and Monitoring

Role: