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 is in neural network models for both computer vision (precise tracking of movement in 3D) and predictive modeling for healthcare (pain control and traumatic brain injury prognosis).
High-Resolution, Parallelized Imaging of Freely Swimming Zebrafish with a Gigapixel Microscope awarded by (Co Investigator). 2018 to 2020
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)
Dunn, Timothy W., and James E. Fitzgerald. “Correcting for physical distortions in visual stimuli improves reproducibility in zebrafish neuroscience.” Elife, vol. 9, Mar. 2020. Epmc, doi:10.7554/elife.53684. Full Text