Biological & Biomedical

Biological systems present many of the richest functions ever observed. Interacting with such systems in sophisticated ways is essential for advancing public health, environmental sustainability, and scientific understanding. Electrical and computer engineering provides powerful tools and technologies for such interactions, including diverse sensing/actuation modalities, algorithms for data analysis and control, and computing platforms for realizing advanced algorithms.

An increasingly quantitative understanding of biology is both driven by and further driving the adoption of these tools and technologies, forming a critical connection between electrical and computer engineering and biology. Harnessing this requires deep understanding of biology together with electrical and computer engineering fundamentals. At Princeton, this understanding comes from highly interdisciplinary research, reaching out to natural sciences, medicine, and society at large.

Faculty

Stephen Chou
Joseph C. Elgin Professor of Engineering
Jason W. Fleischer
Professor of Electrical and Computer Engineering
Tian-Ming Fu
Visiting Research Scholar
Andrea Goldsmith
Arthur LeGrand Doty Professor of Electrical and Computer Engineering
Niraj Jha
Professor of Electrical and Computer Engineering
Sun-Yuan Kung
Professor of Electrical and Computer Engineering
Peter J. Ramadge
Gordon Y.S. Wu Professor of Engineering
Kaushik Sengupta
Associate Professor of Electrical and Computer Engineering
James Sturm
Stephen R. Forrest Professor of Electrical and Computer Engineering
Naveen Verma
Professor of Electrical and Computer Engineering
Mengdi Wang
Associate Professor of Electrical and Computer Engineering and the Center for Statistics and Machine Learning
Gerard Wysocki
Associate Professor of Electrical and Computer Engineering