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
The silent majority: How astrocytes shape the brain across scales
Melissa Cooper talks to Mac Shine about her new work that reveals how these glial cells—long dismissed as the brain’s housekeepers—wire together in precise, long-range networks that remodel in response to experience.
The silent majority: How astrocytes shape the brain across scales
Melissa Cooper talks to Mac Shine about her new work that reveals how these glial cells—long dismissed as the brain’s housekeepers—wire together in precise, long-range networks that remodel in response to experience.
Untangling genetic effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 May.
Untangling genetic effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 May.
The next unit of science: Is the scientific paper due to be replaced?
Artificial intelligence is pushing scientific publishing to the brink. For a field as sprawling as neuroscience, the crisis may also be an opportunity to finally connect findings across subfields.
The next unit of science: Is the scientific paper due to be replaced?
Artificial intelligence is pushing scientific publishing to the brink. For a field as sprawling as neuroscience, the crisis may also be an opportunity to finally connect findings across subfields.