Dr. Roger Mark, is Distinguished Professor of Health Sciences and Technology, and Professor of Electrical Engineering at Massachusetts Institute of Technology and Assistant Professor of Medicine at Harvard Medical School. He remains active in the part-time practice of internal medicine with a focus on geriatrics. His current research activities include “Critical Care Informatics” (http://mimic.mit.edu) and “PhysioNet” (http://www.physionet.org), both of which involve the development and open distribution of large physiological and clinical databases, including the MIMIC II ICU database.
Leo Anthony Celi, MD, MS, MPH has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology, and as an intensivist at the Beth Israel Deaconess Medical Center in Boston, he brings together clinicians and data scientists to support research using data routinely collected in the intensive care unit. Leo also founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science at MIT, whose objective is to leverage information technology to improve health outcomes in low- and middle-income countries. He has spoken in 25 countries about the value of data in improving population health.
Dr Jean-Paul Mira, MD, PhD, is professor of Critical Care Medicine at Paris Descartes University. He is head of the medical Intensive Care Unit of Cochin University Hospital and the current president of the French Intensive Care Society (SRLF: société de reanimation de langue française). His research activity concerns mainly the topic of sepsis, including genetics of sepsis, epidemiology and new treatment. He is member of the International Sepsis Forum.
Xavier Tannier, professor in computer science at Pierre and Marie Curie University (UPMC, Paris 6) and researcher at LIMICS, Paris. His research topics concern natural language processing, information retrieval and extraction, data mining.
Romain Pirracchio 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 Medical Research Methodology and Biostatistics. I completed my doctoral studies in the Department of Biostatistics and Medical Informatics (DBIM, unité INSERM U-1153) at Hôpital Saint Louis, Paris, France in 2012 under the guidance of Prof Sylvie Chevret. 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, where I worked under the supervision of Prof. Mark J. van der Laan and Prof Maya L. Petersen. Back in Paris, I was the clinical director of the surgical and trauma ICU at European Hospital Geroges 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 Associate Professor. Since September 2016, I am back at European Hospital Geroges Pompidou in Paris where I serve as Full Professor and vice chair for the ICUs. I am also Adjunct Associate Professor at UCSF and affiliate to the Division of Biostatistics at UC Berkeley.
Dr Jerome Aboab, MD, PhD, is intensivist at Assistance Publique des Hopitaux de Paris. He also participates in the activities of the AP-HP WIND Department attached to the Direction of Information System. His function is to optimize and facilitate the use of the institution’s data warehouse.
Currently, invited scientist to the laboratory of computational physiology, he works on the database MIMIC III, the openly-accessible critical care database. His research activity concerns mainly physiology applied to intensive care especially in sepsis and ARDS.
Alistair E. W. Johnson joined the Laboratory for Computational Physiology as a postdoctoral associate in 2015. He received his B.Eng in Biomedical and Electrical Engineering at McMaster University, Canada, and subsequently read for a D.Phil in Healthcare Innovation at the University of Oxford. His thesis was titled “Mortality and acuity assessment in critical care”, and its focus included using machine learning techniques to predict mortality and develop new severity of illness scores for patients admitted to intensive care units. Before joining the LCP, Alistair spent a year as a research assistant at the John Radcliffe hospital in Oxford, where he worked on building early alerting models for patients post-ICU discharge. Alistair’s research interests revolve around the use of data collected during routine clinical practice to improve patient care.
Tom Pollard is a Research Scientist at the MIT Laboratory for Computational Physiology. Most recently he has been working with colleagues to release MIMIC-III, an openly-accessible critical care database. Prior to joining MIT in 2015, Tom completed his PhD at University College London, UK, where he explored models of health in critical care patients in an interdisciplinary project between the Mullard Space Science Laboratory and University College Hospital. Tom has a broad interest in how we can improve the way that critical care data is managed, shared, and analysed for the benefit of patients. He is a Fellow of the Software Sustainability Institute.
Chris Sauer, Bachelor of Science in Medicine from Maastricht University, the Netherlands in 2014. During his Bachelor, he participated in the Honor’s program in research, focusing on Merkel cell carcinoma. For his Honor’s thesis, he was awarded with the student price of Maastricht University. Chris was a student representative of the University Council of Maastricht University. He deepened his knowledge of oncology by spending half a year at the Dana-Farber Cancer Institute, focusing on Diffuse Large B-cell Lymphoma. In 2017, he graduated as a Medical Doctor from Maastricht University and with a doctorate (dr. med.) from RWTH Aachen University, Germany. Currently, he attends the Harvard T.H. Chan School of Public Health for a one-year Master in Public Health in Quantitative Methods. He participated in the MIT course on Collaborative Data Sciences and wrote a paper on trends and outcomes of oncological patients admitted to the ICU.
Christopher V. Cosgriff joined MIT Critical Data via the Collaborative Data Science in Medicine course offered by the Harvard-MIT Health Science & Technology program. He is a fourth year medical student at NYU School of Medicine currently taking a research year to pursue a Masters of Public Health in Quantitative Methods at the Harvard School of Public Health. He received a B.A. in Biochemistry from Baruch College where his research focused on the computational modeling of quantum chemical phenomena, and his honors thesis was titled “The Design of New Cognition-Enhancing Drugs: Computationally Guided Structure-
Based Design of Novel Ampakines”. His clinical interests center upon critical illness, and his current research focus revolves around utilizing data science techniques in the secondary analysis of electronic health record data to improve ICU care. Central to all of his work is the belief that computational techniques have the ability to transform our understanding of health and disease.
Paul Church is a software engineer with Google Canada, working on Healthcare and Life Science applications in Google Cloud including the ETL of research datasets to Cloud for large-scale data processing. He received his M.Math in Computer Science from the University of Waterloo in 2008, with research interests in tiling theory. Recent projects include a conversion of the MIMIC-III database to OMOP hosted on BigQuery.
Leo Anthony Celi