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Computing + Biology

When imagining the future of technology, sometimes all we need to do is look out the window — or into a microscope.

Our researchers take inspiration from nature to redefine what a computer can be, from data storage using synthetic DNA, to sensors modeled on insects and leaves. We also advance technologies to help solve biology’s biggest mysteries, such as computational approaches for understanding the mechanisms of disease and brain-computer interfaces that can restore or augment physical function and mobility.


Research Groups & Labs

Neural Systems Lab featured photo with an activated brain.

Neural Systems Lab

The Neural Systems Lab at the UW focuses on understanding the brain using computational models and simulations, and applying this knowledge to the task of developing human-like artificial intelligence (AI) and brain-computer interfaces (BCIs).

Closeup of a person's finger illuminated in red by smartphone camera

UbiComp Lab

The Ubiquitous Computing (UbiComp) Lab develops innovative systems for health sensing, low-power sensing, energy sensing, activity recognition and novel user interface technology for real-world applications.


Faculty Members

Faculty

Faculty


Centers & Initiatives

The Center for Neurotechnology (CNT) got its start in 2011 as one of several Engineering Research Centers (ERCs) funded by the National Science Foundation. CNT is headquartered at the University of Washington, with core partners at the Massachusetts Institute of Technology and San Diego State University. CNT researchers focus on developing and applying principles of engineered neuroplasticity to revolutionize the treatment of spinal cord injury, stroke and other debilitating neurological conditions.

Society + Technology is a cross-campus, cross-disciplinary initiative and community at the University of Washington that is dedicated to research, teaching and learning focused on the social, societal and justice dimensions of technology.

Highlights


Allen School News

In a recent paper, a team of researchers led by professor Matt Golub designed a new machine learning technique to understand how different parts of the brain talk to each other even when some parts can’t be directly observed.

Allen School News

The ACM Special Interest Group on Computer-Human Interaction recognized Fogarty’s leadership and contributions to human-computer interaction research including ubiquitous computing, interactive machine learning, accessibility and personal health informatics.

Allen School News

For her groundbreaking research on explainable AI for biology and medicine, Lee, who directs the UW’s AI for bioMedical Sciences Lab, was named a Fellow of the International Society for Computational Biology (ISCB).