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
Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.
Prevalence of profound autism declines with new definition
The updated, more precise definition used in a CDC study includes adaptive scores.
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
Is it time for neuroscience to shift its focus from a computational mind to a navigating mind?
Andrea Hiott explains her navigational approach to the mind, and why now is the time to embrace seemingly paradoxical findings in neuroscience.
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.
Human brain organoids come of age—but still have room to grow
The U.S. government has touted organoids as an alternative to animals for studying the brain. The model has improved since its debut in 2013, but scientists are still working to overcome key limitations: immaturity, consistency and the lack of vascularization.