Dr. Alaleh Azhir is an internal medicine resident at Brigham and Women’s Hospital and an investigator at CLAI. Alaleh’s research centers on utilizing advanced computational methods and artificial intelligence to improve diagnostic accuracy of patient phenotyping various medical conditions with a focus on sex differences in cardiovascular disease. With a particular focus on Long COVID, Dr. Azhir has pioneered computational approaches that leverage extensive patient health records to identify subtle health patterns. Her work aims to develop precise, data-driven tools that assist in early diagnosis and intervention, contributing to the evolving field of “precision phenotyping” for complex chronic conditions.

Dr. Azhir’s key research areas include computational approaches in precision phenotyping and cardiovascular disease; and implementing machine learning to uncover distinct, personalized markers that can guide more accurate clinical decision-making.

She received her medical degree from the Harvard-MIT HST program where she was Soros fellow, and master’s degree in statistical science from University of Oxford through the Rhodes scholarship. Further she was a post doc New Map of Life Fellow at Stanford’s center in longevity. She majored in biomedical engineering, computer science, and applied Mathematics and statistics at Johns Hopkins. She immigrated from Iran when she was 14.