Eva L. Dyer, Ph.D.
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Biography
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 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.
Affiliations – Graduate Programs
- 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
Affiliations – Institutes & Centers
- Institute for Data, Engineering, and Science (IDEaS)
- Neuroscience at Georgia Tech (GTNeuro)
- Neural Engineering Center (NEC)
Affiliations – Training Programs
- Executive Board Member, Community Impact Co-Chair
Computational Neuroengineering Training Program (CNTP) - Director of Graduate Studies, Mentor
InQubate Training Program in Computational Biosciences
Funding and Support
- NIH – Theory Models and Methods (TMM) Program
- NSF – CAREER, Robust Intelligence, CCF
- McKnight Foundation
- Sloan Foundation
- CIFAR Global Scholar
- Allen Institute for Brain Science
Consulting