Raúl san José Estépar

Faculty @M Visión Consortium

Wellesley Hills, MA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Sep 2013 — Present

Faculty @M Visión Consortium

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Faculty and Mentor of the IDEA3 program. The Madrid-MIT M+Visión Consortium is a partnership of leaders in science, medicine, engineering, business, and the public sector dedicated to catalyzing change in Madrid’s healthcare innovation ecosystem by accelerating translational research and encouraging entrepreneurship. It was founded by Comunidad de Madrid, in 2010, in partnership with the Massachusetts Institute of Technology (MIT).

EDUCATION

2005 — 2006

Harvard Medical School

PostDoc, Radiology

2010 — 2011

MIT Sloan School of Management

Certificate, Technology, Operations, and Value Chain Management

2000 — 2004

Universidad de Valladolid

PhD, Telecomunications Engineering

1994 — 1999

Universidad de Valladolid

Master, Telecommunication Engeenering

2009 — 2010

MIT Sloan School of Management

Certificate, Management and Leadership

SKILLS

Biomedical EngineeringImage ProcessingCopdMedical ImagingMedical DevicesSignal ProcessingComputer VisionImage AnalysisEntrepreneurshipQuantitative Genetics

ABOUT RAÚL SAN JOSÉ ESTÉPAR

I am Associate Professor of Radiology at Harvard Medical School and co-director of the Applied Chest Imaging Laboratory at Brigham and Women’s Hospital, where my work bridges imaging science, artificial intelligence, and clinical translation.My research focuses on developing and validating quantitative imaging biomarkers that advance our understanding of chronic lung diseases and support precision medicine. As the original developer of the Chest Imaging Platform—an open-source toolkit for CT-based lung phenotyping—I have helped establish scalable solutions now used in large multicenter studies and clinical trials worldwide.Our lab serves as the imaging core for major NIH- and industry-funded initiatives, including COPDGene, the Framingham Heart Study Pulmonary Research Center, the CARDIA Lung Study, the ALA Lung Health Cohort, and RECOVER. We are advancing AI-driven methods for mucus plug detection, airway disease, pulmonary vascular remodeling, and synthetic lung functional imaging, while integrating imaging with molecular and genetic data to develop predictive models of disease progression and treatment response.I am a member of the Fleischner Society and the recipient of the Distinguished Investigator Award from the Academy for Radiology & Biomedical Imaging Research. Beyond academia, I co-founded Quantitative Imaging Solutions, a healthcare technology company translating imaging-based AI solutions into clinical practice, including tools for lung cancer risk prediction.I am passionate about building collaborations across medicine, engineering, and industry to accelerate innovation in imaging, create meaningful endpoints for clinical trials, and improve care for patients with lung disease.

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Raúl san José Estépar — Faculty at M Visión Consortium in Wellesley Hills, MA, US | Unifers