​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 Postdoctoral Researcher in the Algorithms Group at Microsoft Research, Remond. I completed my Ph.D. at the University of Washington where I was part of 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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I am looking for self-motivated PhD students interested in theoretical computer science/applied mathematics. If you are interested in working with me, please consider applying to the UChicago CS PhD program and mention my name in your application.
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Research
I work broadly in theoretical computer science and applied mathematics. In particular, currently I am interested in convex optimization, submodular function minimization, discrepancy theory, high dimensional probability, and their applications.
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See here for a full list of publications.
Teaching
Teaching at the University of Chicago
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CMSC/MATH 39600-1: Geometric Discrepancy Theory (Aut'24)
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CMSC 31801-1: High-Dimensional Probability (Aut'24, Spr'26)
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CMSC 27200: Theory of Algorithms (Win'25, Win'26)
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Contact Information
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Email: ​​jhtdavid at uchicago dot edu
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Office: Room 239, John Crerar Library, 5730 S. Ellis, Chicago, IL, 60637