Dr. Majid Afshar is an Assistant Professor of Medicine in the Division of Allergy, Pulmonary, and Critical Care at the University of Wisconsin-Madison. Dr. Afshar received his medical degree and internal medicine training from Rush Medical College, and then completed his clinical fellowship in Pulmonary and Critical Care Medicine at the University of Maryland Medical Center. He then got his master of science degree in Research Methods and Epidemiology from Rush University. He is board-certified in pulmonary medicine, critical care medicine, and clinical informatics. Dr. Afshar works closely with hospital informatics to improve health outcomes and healthcare delivery. He co-leads the Department of Medicine Data Science Lab and is also the Director of the Learning Health System for University of Wisconsin. Dr. Afshar’s research interests include predictive analytics (diagnostics and prognostics) using electronic health record data and public health data for individuals with critical illness. His focus is on early detection and monitoring using methods in natural language processing and machine learning. He has previously developed models for identifying respiratory failure in hospitalized patients, as well as a risk prediction model for acute respiratory distress syndrome and sepsis in burn and trauma patients. Dr. Afshar practices clinically as an intensivist at University of Wisconsin-Madison where he takes care of patients with the conditions that are also the focus of his research. He has previously received an NIH F32 National Research Service Award and NIH K23 Career Development Award.  He currently has a NIH R01 to implement and study machine learning algorithms in the health system and examine the effectiveness of NLP-driven tools on health outcomes. He has served on study sections for NIH, CDC, and AHRQ, and he was the Vice-Chair of Data Science for the 2021 AMIA Informatics Summit. He mentors post-doctorate students and junior faculty with a focus in critically ill patients, including trauma and sepsis.