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YoungJu Jo

Applied Physics
biophotonics, optogenetics, machine learning, dynamical systems

 I am an Applied Physics PhD student working at the intersection of experimental and theoretical neuroscience under the supervision of Professors Karl Deisseroth and David Sussillo. My current research focuses on identifying and controlling the logic of neural population dynamics through data-driven optogenetic perturbation approaches. It was motivated by my previous works that I combined holographic optics with machine learning for biomedical applications at cellular scales, which were commercialized by Tomocube. I received my BS in Physics and Mathematics from KAIST in 2018 and MS in Biology from Stanford in 2020.