Biomedical and Health Data Sciences

Biomedical and Health Data Sciences

New biomedical imaging and sensing technologies are generating data at an unprecedented pace. The increasing availability of electronic health records data has enabled data-driven inquiry into contemporary health care issues. Researchers in Duke BME are developing innovative data science, machine learning, and digital health modeling approaches to transform multi-scale biomedical data (e.g. multi-omics, imaging, wearable sensors, and electronic health records data) into actionable health insights.

There are extensive collaborations between our BME faculty and Duke University Medical Center clinicians to rapidly translate large-data analysis tools developed at Duke BME for both the patient bedside and broader commercialization.

This research community is supported and enhanced by numerous centers and programs, including: Duke Institute for Health Innovation (DIHI), Duke MEDx, Duke Center for Applied Genomics & Precision Medicine, Fitzpatrick Institute for Photonics, Duke Information Initiative (iiD), Duke Medical Imaging Training Program and the Sherry and John Woo Center for Big Data and Precision Health.

Primary Faculty

Jessilyn Dunn

Jessilyn Dunn

Assistant Professor of Biomedical Engineering

Research Interests: Use of large-scale biomedical datasets to model and guide personalized therapies

Sina Farsiu

Sina Farsiu

Paul Ruffin Scarborough Associate Professor of Engineering

Research Interests: Focused on medical imaging and machine learning to improve the overall health and vision outcome of patients with ocular and neurological diseases (e.g., age-related macular degeneration, diabetic retinopathy, Alzheimer, and ALS) through earlier and personalized therapy.

Craig S. Henriquez

Craig S. Henriquez

Professor of Biomedical Engineering

Research Interests: Large-scale computing, heart modeling, and brain modeling.

Roarke W. Horstmeyer

Roarke W. Horstmeyer

Assistant Professor of Biomedical Engineering

Research Interests: Optics, machine learning, and algorithms. A main focus is to improve how we capture and use optical images within a range of biomedical context. I like to create new optical devices that can capture useful biological data, most notably with applications in neuroscience.

Mark L. Palmeri

Mark L. Palmeri

Associate Professor of the Practice in the Department of Biomedical Engineering

Research Interests: Ultrasonic imaging, specifically using acoustic radiation force to characterize the mechanical properties of tissue, and finite element analysis of soft tissue response to impulsive radiation force excitation. Other research interests include ultrasonic bioeffects and mechanical...

Nimmi Ramanujam

Nimmi Ramanujam

Robert W. Carr, Jr., Professor of Biomedical Engineering

Research Interests: Innovating on optical strategies to peer into the biological landscape of thick tissues. Technologies being developed in her lab leverage principles of optical spectroscopy, optical sectioning microscopy, and molecular imaging. Her research group is developing and applying these...

Amanda Randles

Amanda Randles

Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences

Research Interests: Biomedical simulation and high-performance computing

Xiling Shen

Xiling Shen

Hawkins Family Associate Professor

Research Interests: Metabolic and epigenetic reprogramming of cancer metastasis, stem cell and organoid technology, microbiome-host-disease interaction, humanized immune cancer models, intravital imaging, CRISPR/dCAS9 epigenetic screening, and peripheral neuromodulation.

Lingchong You

Lingchong You

Professor of Biomedical Engineering

Research Interests: Computational systems biology & synthetic biology, including mathematical modeling of cellular networks; mechanisms of information processing by gene networks; design, modeling and construction of robust gene networks for applications in engineering and medicine.