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Brett Beaulieu-Jones is an Assistant Professor in the Department of Medicine at the University of Chicago, specializing in biomedical informatics and machine learning healthcare. His research focuses on utilizing electronic health records and real-world clinical data to enhance care delivery, clinical decision-making, and health system operations. With a background in computer science, Dr. Beaulieu-Jones is dedicated to the development of interpretable clinical AI models and methods that promote the responsible and reproducible use of clinical data. He earned his PhD from the Perelman School of Medicine at the University of Pennsylvania and completed postdoctoral training before joining the University of Chicago in 2022. He has received the National Institutes of Health Pathway Independence Award and contributes to the editorial board of Nature Communications Medicine. In addition, he has actively participated in health learning and inference initiatives and held leadership roles in relevant associations. His work is also supported by multiple NIH grants, demonstrating his commitment to advancing healthcare through innovative research methods.
University of Chicago • Chicago, IL
Joined the Department of Medicine, focusing on translating research into clinical practice.
Department of Philosophy