Tyler Benster

whole-brain, optogenetics, deep learning, zebrafish, Bayesian methods

Tyler received an ScB in Applied Math-Economics from Brown University in 2014. Previously, he developed a machine learning method for assessing ex vivo retinal acuity in Russel Van Gelder's lab at University of Washington Medicine. In parallel, Tyler served as program chair for more than 25 international conferences in 3D printing and robotics, and is a founding partner at Asimov Ventures. He is currently a PhD student in the Neurosciences Graduate Program at Stanford, and is co-advised by Karl Deisseroth in Bioengineering and Shaul Druckmann in Neurobiology. He is interested in developing theory and machine learning tools that guide experimental design for whole-brain imaging and stimulation of neural ensembles.