Eva L. Dyer, Ph.D.

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Eva Dyer (she/they) is an Associate Professor in the Coulter Department of Biomedical Engineering at the Georgia Institute of Technology. Dr. Dyer’s research combines machine learning and neuroscience to understand neural circuits and computations, and build abstractions of biological organization and function that can be used to create more flexible AI systems. Eva completed all of her degrees in Electrical & Computer Engineering, obtaining her Ph.D. and M.S. from Rice University and a B.S. from the University of Miami. Eva is the recipient of numerous awards including a Sloan Fellowship, NSF CAREER Award, Next Generation Leader Award from the Allen Institute, a McKnight Foundation Technological Innovations in Neuroscience Award, and a CIFAR Global Scholar Award.

Associate Professor, Coulter Department of Biomedical Engineering
Adjunct Professor, School of Electrical & Computer Engineering
Program Faculty, Machine Learning Ph.D Program
Program Faculty, Bioengineering Interdisciplinary Ph.D. Program
Affiliated Faculty, Institute for Data Science and Engineering (Ideas)
Affiliated Faculty, Center for Neuroscience at Georgia Tech (GTNeuro)
Affiliated Faculty, Center for Neuroengineering
Affiliated Faculty, Computational Neuroengineering Training Program (CNTP)
Director of Graduate Studies, InQubate Training Program in Computational Biosciences

Funding and Support
NIH Theory Models and Methods Program
NSF Robust Intelligence
McKnight Foundation
Sloan Foundation
CIFAR Global Scholar
Allen Institute for Brain Science

Cajal Neuroscience