Bio
Eva Dyer, Ph.D., is an assistant professor in the Coulter Department of Biomedical Engineering at the Georgia Institute of Technology. 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. from Rice University and a B.S. from the University of Miami. Eva is the recipient of a Sloan Fellowship, a Next Generation Leader Award from the Allen Institute for Brain Science, a CISE Research Initiation Initiative Award from the NSF, a Technological Innovations in Neuroscience Award from the McKnight Foundation, and is currently a CIFAR Global Scholar in the Learning in Machines & Brains Program.

Research
The Dyer lab, also known as the Neural Data Science (NerDS) Lab has diverse research interests spanning many areas of machine learning, neuroscience, and the intersection between the two. They both develop machine learning approaches to analyze and interpret complex neuroscience dataset and design new machine intelligence architectures inspired by the organization and function of biological brains. 

The IBB Breakfast Club Seminar Series was started with the spirit of the Institute's interdisciplinary mission in mind to feature local IBB faculty member's research in a seminar format. Faculty are often asked to speak at other universities and conferences, but do not often present at their home institution - this seminar series is an attempt to close that gap. IBB Breakfast Club Seminars are open to anyone in the bio-community.