Leo Anthony Celi MD, MS, MPH is Clinical Research Director and Senior Research Scientist at the Laboratory for Computational Physiology at MIT and a practicing intensivist at Beth Israel Deaconess Medical Center in Boston. Dr. Celi’s work focuses on scaling clinical research to be more inclusive through open access data and software, particularly for limited resource settings; identifying bias in the data to prevent them from being encrypted in models and algorithms; and redesigning research using the principles of team science and the hive learning strategy.

Dr. Celi completed his medical degree at the University of the Philippines, followed by postgraduate training in internal medicine, critical care medicine, infectious disease, and biomedical informatics at Cleveland Clinic, Harvard, Stanford, and MIT. He has published numerous papers in machine learning, not only in critical care medicine, but across different specialties including ophthalmology, radiology, surgery, nursing, and bioethics.

Colleen M. Flood FRSC, FCAHS is Dean, Faculty of Law, Queen’s University. Her research interests focus on the role of law in shaping health and health care systems and the appropriate roles for the public and private sectors. She is the principal investigator of a CIHR grant on the Governance of Health-Related Artificial Intelligence. Professor Flood is the author/editor of 12 books (two of which are in multiple editions), editor of Halsbury’s Laws of Canada – Public Health (2019 re-issue), co-editor of Vulnerable: The Law, Policy & Ethics of COVID-19 (uOttawa Press 2020), and co-editor of Administrative Law in Context (Emond 2021)

Alistair Johnson DPhil is a Scientist at the Hospital for Sick Children and was most recently the T-CAIREM Infrastructure Co-Lead. He received his Bachelor of Biomedical and Electrical Engineering at McMaster University and successfully read for a DPhil at the University of Oxford. Dr. Johnson has worked in machine learning and healthcare for over a decade. Dr. Johnson has strived to overcome barriers to data access, and his work on MIMIC-III demonstrates the immense potential of publicly available data. His research focuses on enabling healthcare research, including the development of new database structures tailored for healthcare, algorithms for de-identification of rich clinical data, and tools for assessing data quality.

Senthil Nachimuthu MD, PhD is the Chief Medical Officer and lead of Nightingale Open Science at the Center for Applied AI and the University of Chicago Booth School of Business. Previously, he worked in large corporate and start-up companies in product management and research leadership roles in medical informatics, analytics, interoperability, and healthcare standards. He has led interoperability efforts at several hospitals, contributed to HL7 and LOINC standards, served as an elected U.S. representative to SNOMED, and as an advisor to a U.S. Congressional committee. Dr. Nachimuthu also serves as an Adjunct Assistant Professor of Biomedical Informatics at the University of Utah School of Medicine, where he teaches and conducts research on clinical decision support and interoperability. He is also a researcher in infectious disease epidemiology at the Salt Lake City VA Medical Center.