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Biosystems

Overview

Biosystems research in UW’s Department of Electrical Engineering is a highly collaborative endeavor. Our faculty focus on four areas of Biosystems research: synthetic & systems biology, neural engineering, biomedical devices, and mobile health. Many of our faculty hold secondary appointments and work closely with collaborators from other departments including Bioengineering, Computer Science and Engineering, Biology, Genome Sciences, Applied Mathematics, and the UW Medical Center. Our Biosystems faculty work with many cross-disciplinary institutes such as the eScience Institute, the NSF Engineering Research Center for Sensorimotor Neural Engineering, the Institute for Protein Design, the Bloedel Hearing Research Center and the University of Washington Institute for Neuroengineering.

Topics

Synthetic Biology:

Biotechnology, macromolecular engineering tools, advanced materials, genetic engineering, computer aided design, laboratory automation, DNA/RNA sequence assembly, information theory and machine learning for genomics applications.

Faculty: Eric KlavinsGeorg SeeligSreeram KannanJeff Bilmes

Neural Engineering:

Neural Control, Brain-Computer Interfaces, Neural Security, Device control, spinal cord rehabilitation, neural signaling, neuromechanics and computational neuroscience.

Faculty:  Blake HannafordHoward Jay ChizeckSam BurdenEli ShlizermanJoshua R. SmithVisvesh Sathe

Medical Devices:

Design of biomedical devices including research and clinical neural interfaces, diagnostic devices, wearable sensors, and embedded processing and wireless communication links for biomedical devices.

Faculty: Babak ParvizShwetak N. PatelJoshua R. SmithMatt ReynoldsVisvesh SatheJacques Christophe RudellBlake HannafordHoward Jay ChizeckLes Atlas

Mobile Health:

Development of new health monitoring, diagnostics, and health management applications and tools using emerging mobile devices and sensors. Research in this area applies advances in imaging, app development, physiological modeling, statistical algorithms, and machine learning. This work has implications for home health monitoring and low-resource environments.

Faculty: Shwetak N. PatelJoshua R. SmithMatt ReynoldsLinda G. Shapiro

Component Labs

Researchers

 

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