December 6, 2022
Building a path to Preventative Medicine in Acute/Critical Care
Romain Pirracchio, MD, PhD
Professor of Clinical Anesthesia, Chief of Anesthesia and Perioperative Care, University of California, San Francisco, Zuckerberg San Francisco General Hospital
I am a French M.D., Ph.D., hailing from Paris. I obtained my M.D. in 2003, with a specialization in Anesthesiology and Critical Care Medicine. In 2008, I obtained a Master degree in Public Health, Medical Research Methodology and Biostatistics. I completed my doctoral studies in the Department of Biostatistics and Medical Informatics (INSERM U-1153) at Hôpital Saint Louis, Paris, France in 2012. In 2012-2013, I spent a year as a postdoctoral fellow in Biostatistics in the School of Public Health at the University of California, Berkeley. Back in Paris, I was the clinical director of the surgical and trauma ICU at European Hospital Georges Pompidou (2013-2015) and a researcher in Biostatistics at the INSERM U-1153 unit. In January 2015, I have joined the Department of Anesthesia and Perioperative care at the San Francisco General Hospital & Trauma Center (UCSF) as Visiting Associate Professor. In September 2016, I went back to Paris to take 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, I am now Professor of Anesthesia, Professor of Biostatistics at UCSF and chief of Anesthesia and Perioperative Care at UCSF. In 2019, I became the first recipient of the Ronald D. Miller Distinguished Professorship, Anesthesia and Perioperative Medicine, UCSF.
My two main research areas are clinical research in Anesthesiology and Critical care Medicine and applied research in Biostatistics. In Biostatistics, I am broadly interested in problems of predictive analytics, machine learning and causal inference. In particular, I have developed novel methodologies for addressing scientific questions using complex observational data subject to sampling biases. I am harnessing Big Data generated from continuous ICU monitoring by leveraging upcoming innovation in online Machine Learning to ultimately be able to provide personalized real-time prediction and decision tools that would help the clinician in the ICU. In 2016, I created together with Prof. Antoine Chambaz a multi-disciplinary research team dedicated to this (ACTERREA: http://acterrea.math.cnrs.fr) which was officially labelled by the French National Research Agency (CNRS) and hosts researchers with different backgrounds (clinical research, biostatistics, applied mathematics, data science) from different institutions. Since 2018, I am leading a lab (https://anesthesia.ucsf.edu/research-group/pirracchio-datascience-lab#home) that spans across UCSF and UC Berkeley campuses and focusses on the development of AI algorithms for clinical decision support in acute care.