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Cheng Mao is an Assistant Professor in the School of Mathematics at the Georgia Institute of Technology. His research interests broadly summarize the fields of Mathematics and Data Science, particularly focusing on mathematical statistics, applied probability, theoretical computer science, and related areas. In recent years, he has concentrated his research on statistical inference and random graphs. Before joining Georgia Tech, Cheng was a postdoctoral researcher from 2018 to 2019, collaborating with Yihong Wu. He earned his Ph.D. degree in Mathematics and Statistics in 2018, under the advisement of Philippe Rigollet, after which he obtained both B.S. and M.A. degrees in Mathematics from UCLA in 2013. Cheng is actively engaged in guiding Ph.D. students, including Jingyi (Joy) Zhang and Shenduo Zhang at Georgia Tech.
Department of Computer Science: GRE scores are optional for Fall 2026.