Brian Hu, Ph.D.
Brian Hu is a scientist in the Modeling, Analysis and Theory team at the Allen Institute. His research focuses on developing computational and theoretical models of visual perception with applications to computer vision. Prior to joining the Institute in 2017, he obtained his B.S. in bioengineering from the University of Pittsburgh, and his Ph.D. in biomedical engineering from Johns Hopkins University under the guidance of Ernst Niebur. His thesis focused on modeling the neural circuits that group visual features into 2D and 3D object representations. As a computational neuroscientist, he has worked on models of contour integration, figure-ground segmentation, and visual saliency prediction.
My research interests include modeling the neural mechanisms of perceptual organization and selective attention. I’m also interested in the intersection of biological vision and computer vision, and how fundamental principles from computational neuroscience can help us to build machines that see.
- Computational Neuroscience
- Modeling and Simulation
- Computer Vision