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.

Adjunct & Emeritus Faculty

Areas of Expertise

Societal Impact

Results will appear in alphabetical order.

Groups & Labs »

Centers & Initiatives »

Adjunct Faculty

Adjunct Faculty

Karl Böhringer

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Max Kleiman-Weiner

Adjunct Faculty

Adjunct Faculty

Walter L. (Larry) Ruzzo

Emeritus Faculty

Adjunct Faculty

Adjunct Faculty

Adjunct Faculty

Jacob Sunshine, M.D.

Adjunct Faculty

Peter Tarczy-Hornoch

Adjunct Faculty

Emeritus Faculty

Adjunct Faculty

Highlights

Allen School News

Ph.D. student Malek Itani earns Marconi Society Young Scholar Award

Itani, who works with Allen School professor Shyam Gollakota in the Mobile Intelligence Lab, was recognized for exceptional early-career research advancing AI systems for “superhuman” hearing.

HearingTracker

What’s Next for AI Hearing Aids? Hearing in Your Own Friend Bubble

A technology known as semantic hearing developed in Allen School professor Shyam Gollakota’s lab could let users create acoustic bubbles, isolate chosen voices, and control individual sounds in their environment.

MIT Technology Review Korea

The era where AI discovers and humans prove

Allen School professor Su-In Lee discusses the role of artificial intelligence in science and medicine and explains why the process the model follows to arrive at an answer is as important as the answer itself.