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
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
University probe leads to retraction of four neural tube studies
The University of Maryland conducted an internal investigation that identified image duplications and other data integrity issues in the studies, according to the retraction notices.
University probe leads to retraction of four neural tube studies
The University of Maryland conducted an internal investigation that identified image duplications and other data integrity issues in the studies, according to the retraction notices.
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.
Highly cited autism paper earns expression of concern over data duplications
The notice, published in Nature last week, also addressed an image duplication identified by a prominent research-integrity sleuth.