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I am a scientist at the Allen Institute for Brain Science, studying vision in mammalians through the lens of computation and machine learning. As a member of Modeling, Analysis and Theory group at Allen Institute, I analyze optical and electrophysiological data from brain and build models of neurons both from the perspectives of machine learning and biophysics. My main research interests are interpretable machine learning, computational neuroscience, computer vision, image analysis and signal processing.

I completed my PhD and MSc in Electrical Engineering and Computer Sciences at UC Berkeley in 2018, where I worked with Bin Yu and Jack Gallant to develop interpretable machine learning tools with applications in computational neuroscience. During my PhD, I also worked as research associate intern at Simons Foundation's Flatiron Institute in New York and Neuralink Corp. in San Fransisco in the summers of 2015 and 2017, respectively. I received my MSc in Biomedical Engineering from Sharif University of Technology in 2013 and BSc in Electrical Engineering from Amirkabir University of Technology (Tehran Polytechnic) in 2010.

I am the recipient of the 2018 Eli Jury Award from UC Berkeley, Department of Electrical Engineering and Computer Sciences, for "outstanding achievement in the area of systems, communications, control, or signal processing". I also received the May J. Koshland Fund in Memory of H.A. Jastro Award from UC Berkeley Graduate Division in 2016, the Excellence Award in Biomedical Engineering from Sharif University of Technology in 2013, the Excellence Award in Electrical Engineering from Tehran Polytechnic in 2010, and a finalist for the best paper award at the 7th Iranian Conference on Machine Vision and Image Processing.




© Reza Abbasi Asl 2018