Ricardo Henao

Associate Professor of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Division of Translational Biomedical, Biostatistics & Bioinformatics

Associate Professor in the Department of Electrical and Computer Engineering · 2024 - Present Pierre R. Lamond Department of Electrical and Computer Engineering, Pratt School of Engineering

Associate Professor in Surgery · 2025 - Present Surgery, Minimally Invasive Surgery, Surgery

Member of Duke Center for Applied Genomics and Precision Medicine · 2014 - Present The Precision Medicine Program, Medicine

Member in the Duke Clinical Research Institute · 2024 - Present Duke Clinical Research Institute, Institutes and Centers

In the News

Published March 18, 2026

Report Outlines Framework for University’s Engagement with AI

Published May 23, 2025

Provost Launches AI Initiative and Steering Committee

Published September 14, 2020

Duke Researchers Look to Help Protect Astronaut's Eyes in Space

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Recent Publications

Calibrating Model-Based Evaluation Metrics for Summarization

Preprint · April 18, 2026 Link to item Cite

Learning to Control Summaries with Score Ranking

Preprint · April 18, 2026 Link to item Cite

HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.

Journal Article Nat Comput Sci · March 27, 2026 X-ray tomography is widely used across scientific and clinical domains, yet image degradation remains a major obstacle to reliable analysis, particularly under low-dose or data-scarce conditions. Existing restoration methods are typically designed for spec ... Full text Link to item Cite

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Recent Grants

Machine Learning Guided Precision Genetic Testing for Identification of Monogenic Cardiovascular Disorders

ResearchSignificant Contributor · Awarded by National Heart, Lung, and Blood Institute · 2024 - 2028

Synthesizing immunoinformatics and genetic epidemiology to identify signatures of natural functional immunity to malaria parasites

ResearchCollaborator · Awarded by National Institute of Allergy and Infectious Diseases · 2023 - 2028

Leveraging machine learning for cardiovascular disease risk prediction and prevention in women with a history of adverse pregnancy outcomes

ResearchCo Investigator · Awarded by Brigham and Women's Hospital · 2023 - 2027

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Education

Technical University of Denmark (Denmark) · 2011 Ph.D.