Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Department of Biomedical Engineering has assembled a core of renowned faculty from multiple disciplines in the Tandon School of Engineering and the NYU School of Medicine, augmented by associated faculty from across NYU’s schools and colleges and the NYU Global Network. Students within the Ph.D. degree programs engage in research leading to new engineering approaches and technologies to promote and enhance human health. In the laboratories of faculty members who are among the most accomplished authorities in the field, these students will acquire all of the necessary skills and expertise to become leaders in biomedical engineering in their own right.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Programme overview
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Department of Biomedical Engineering has assembled a core of renowned faculty from multiple disciplines in the Tandon School of Engineering and the NYU School of Medicine, augmented by associated faculty from across NYU’s schools and colleges and the NYU Global Network. Students within the Ph.D. degree programs engage in research leading to new engineering approaches and technologies to promote and enhance human health. In the laboratories of faculty members who are among the most accomplished authorities in the field, these students will acquire all of the necessary skills and expertise to become leaders in biomedical engineering in their own right.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
Students engage, for example, in projects that look to develop new medical imaging devices and state-of-the-art medical data analysis. This includes the use of artificial intelligence (AI) and deep learning to improve diagnostic capabilities in oncology, ophthalmology, neurology, and orthopedics. Students are also involved in designing devices to separate, analyze, and modulate the behavior of single cells for disease models and diagnostic tests, and creating synthetic chromosomes. Collaboration with faculty in Electrical and Mechanical Engineering includes innovative research on wearable electronics that can be used to monitor disease onset and progression at home on a daily basis.
The state-of-the-art research taking place in the department is supported by engineering strengths in medical imaging, signal processing and analysis, modeling and control of complex living/non-living systems, big data management and visualization, design of microfluidic devices, biomaterials, control and modulation of cellular behavior, biomechanics, and systems biology.
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