Luciano Dyballa
I am a Postdoctoral Associate at the department of Computer Science at Yale University. My research focus includes machine learning/AI, computational neuroscience, computer vision, deep learning, connectomics and network science, manifold inference, tensor analysis, and distributed computing.
I obtained my Ph.D. in Computer Science from Yale University, working in the Zucker Lab. I was then awarded a Swartz Postdoctoral Fellowship to continue my work on manifold learning applied to neural networks, and I currently have active collaborations with groups at UCSF, UCLA, and UMass. Prior to Yale, I obtained a B.S. in Chemical Engineering and an M.S. in Computer Science, both from the Federal University of Rio de Janeiro, in Brazil.
External links
Google Scholar
https://github.com/dyballa/IAN
http://github.com/dyballa/zero-shot-generalization
https://github.com/dyballa/NeuralEncodingManifolds
http://github.com/dyballa/dynamic-connectomes
https://github.com/zuckerlab/FlowStims
Contact
I can be reached by email at [first name].[last name]@yale.edu