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Young Kun Ko is an Assistant Professor in the School of Electrical Engineering and Computer Science at Pennsylvania State University. He focuses on theoretical computer science, including applications of information-theoretic techniques, complexity theory, data structures, and lower bounds using techniques from communication complexity. He obtained his B.S. in Mathematics from the University of Chicago in 2013, followed by a PhD in Computer Science from Princeton University in 2018. His research contributions include works on quantum communication complexity and the Information Value Game, and he has presented significant results at various conferences, such as SODA and APPROX-RANDOM. His work primarily contributes to the field's understanding of computational limits and innovative algorithmic techniques.
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