Mike Hawrylycz joined the Allen Institute for Brain Science in Seattle, Washington, in 2003 as director of informatics and one of the institute’s first staff. His group is responsible for developing algorithms and computational approaches in the development of multimodal brain atlases, and in data analysis and annotation. Hawrylycz has worked in a variety of applied mathematics and computer science areas, addressing challenges in consumer and investment finance, electrical engineering and image processing, and computational biology and genomics. He received his Ph.D. in applied mathematics at the Massachusetts Institute of Technology and subsequently was a postdoctoral researcher at the Center for Nonlinear Studies at the Los Alamos National Laboratory in New Mexico.
Michael Hawrylycz
Investigator
Allen Institute for Brain Science
From this contributor
Knowledge graphs can help make sense of the flood of cell-type data
These tools, widely used in the technology industry, could provide a foundation for the study of brain circuits.
Knowledge graphs can help make sense of the flood of cell-type data
Explore more from The Transmitter
Purkinje cells evolved to have increasingly complex architecture
An increasing proportion of the cerebellar neurons acquired multiple primary dendrites in humans and other apes, according to a comparison of 11 primate species.
Purkinje cells evolved to have increasingly complex architecture
An increasing proportion of the cerebellar neurons acquired multiple primary dendrites in humans and other apes, according to a comparison of 11 primate species.
Making waves: Sleep-like brain activity in awake mice lowers sleep need, boosts memory
Alternating on/off firing patterns don’t just characterize deep, slow-wave sleep, they drive some of its restorative benefits, new findings suggest.
Making waves: Sleep-like brain activity in awake mice lowers sleep need, boosts memory
Alternating on/off firing patterns don’t just characterize deep, slow-wave sleep, they drive some of its restorative benefits, new findings suggest.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.
Is our intelligence rooted in how living organisms are organized?
Kathryn Nave explains how a concept called constraint closure may be fundamental to understanding brains, minds and cognition.