Eva L. Dyer, Ph.D.

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Biography:
Eva Dyer is an Assistant 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, and a Technological Innovations in Neuroscience Award from the McKnight Foundation. She is currently a CIFAR Global Scholar in the Learning in Machines & Brains Program.

Affiliations
Assistant Professor, Coulter Department of Biomedical Engineering|
Adjunct Assistant 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
NIH Theory Models and Methods Program
NSF Robust Intelligence
McKnight Foundation
Sloan Foundation
CIFAR Global Scholar

Consulting
Cajal Neuroscience