Dr. Hossein Estiri is the director of the Clinical Augmented Intelligence (CLAI) Group. He is an Associate Professor of Medicine at Harvard Medical School, a faculty member in the Department of Medicine at Massachusetts General Hospital, and an associate member of the Broad Institute of MIT and Harvard. He is also an affiliated faculty member with the Harvard Center for Population and Development Studies and the Harvard Data Science Initiative.

His research builds clinical AI that understands time, place, and the limits of its own data. It spans four areas:

• Computational phenomics. Precision phenotyping from electronic health records, including AI algorithms that identify Long COVID, dementia, and recovery after acute illness.
• Temporal machine learning. Methods such as transitive sequential pattern mining (tSPM) and MLHO that model how diseases unfold as sequences over time.
• Agentic AI for clinical decision support. Autonomous multi-agent systems that read clinical notes, optimize their own prompts, and run on local hardware, along with the study of how such systems fail.
• Environmental health informatics. Linking high-resolution exposures such as extreme heat and air pollution to clinical records to study their effects on aging populations.

Dr. Estiri leads an NIH-funded research portfolio and has led multi-site AI studies across the ENACT and PCORnet networks. His group’s recent work includes a 58-hospital study showing that diagnostic codes miss more than half of Long COVID cases (JAMA Network Open, 2026) and an autonomous agentic workflow for detecting cognitive concerns in clinical notes (npj Digital Medicine, 2026).

CLAI’s approach to applying computational algorithms to clinical data is to start with user interpretability and work backward to the technology.

Two of his papers have been selected as best papers in Clinical Research Informatics by the IMIA Yearbook of Medical Informatics: the DQe-c data completeness paper (2019 selection) and the tSPM high-throughput phenotyping paper (2021 selection, chosen from 877 candidates). He serves on NIH study sections and has contributed to work of the National Academy of Medicine and to an HHS roundtable.

His research has informed health policy nationally and internationally and has been covered by news outlets including Bloomberg, the Wall Street Journal, Reuters, the Associated Press, USA Today, the New York Times, STAT News, the Telegraph, and the Boston Globe.

Dr. Estiri holds a PhD in Urban Design & Planning and completed a PhD track in Statistics at the University of Washington. He completed postdoctoral training in biomedical informatics at the University of Washington and Harvard Medical School.