Salar Khaleghzadegan is a PhD student at The Dartmouth Institute for Health Policy and Clinical Practice. He completed his Master of Public Policy degree with a concentration in health policy at the University of Maryland Baltimore County School of Public Policy. Prior to starting at Dartmouth, he was a Research Data Analyst at the Armstrong Institute for Patient Safety and Quality at Johns Hopkins University School of Medicine. At Hopkins, he worked on numerous projects that primarily investigated the role of leadership, teamwork, and communication in the coordination of safe and high-quality care. One of his primary interests is exploring the intersection of health services research and computational precision health, where novel data sources (e.g. unobtrusive data, sensor-based data) and analysis approaches (e.g. quantitative text analysis approaches like natural language processing) are used to better inform learning health systems of the current status of health care delivery and to find innovative solutions for improving patient care and outcomes. One specific line of research he is especially interested in is studying the quality of conversations between patients and providers through the use of quantitative text analysis measures such as linguistic style matching. Ultimately, he is interested in exploring whether this method can provide a scalable approach for assessing communication quality during clinical interactions. In his free time, he likes to cook and enjoys gardening.