Dr. Dunn is a Forge Scholar and neuroscience researcher specializing in machine learning, particularly deep convolutional neural networks. His work has focused on how the brain controls behavior. Using original experimental techniques, fast whole brain imaging of neural activity, and high-speed monitoring of behavior in response to closed-loop visual stimuli in zebrafish, he was able to uncover the neural circuits underlying both visually guided and spontaneous swimming behaviors.
His current post doctoral research targets the new computational and theoretical challenges confronting systems neuroscientists. Using deep convolutional neural networks, Dr. Dunn researches visual systems to infer the functional connectivity of neurons based only on optical measurements of neural activity.
High-Resolution, Parallelized Imaging of Freely Swimming Zebrafish with a Gigapixel Microscope awarded by (Co Investigator). 2018 to 2019
Fellowships, Supported Research, & Other Grants
Artificial Intelligence Fellow awarded by Insight Data Science (2017)
Postdoctoral Scholar awarded by Duke Forge (2017)
NVIDIA GPU Grant awarded by NVIDIA (2017)
College Fellow of Molecular and Cellular Biology awarded by Harvard University (2016 to 2017)
Postdoctoral Researcher with Florian Engert awarded by Harvard University (2015 to 2016)
Graduate Researcher with Florian Engert awarded by Harvard University (2010 to 2015)