Haotian Jiang

I am an assistant professor in the Computer Science Department at the University of Chicago. 

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Previously, I was a Postdoc Researcher in the Algorithms Group at Microsoft Research, Remond. I completed my Ph.D. at the University of Washington where I worked in the theory group in the Paul G. Allen School of Computer Science & Engineering. I was fortunate to be advised by Yin Tat Lee. 

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My research interests lie broadly in algorithm design in continuous and discrete optimization. Most recently, my research focused on convex optimization and its applications, submodular function minimization, discrepancy theory, and high dimensional probability and its applications.​

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