Liyan Xie


Liyan Xie
Assistant Professor
School of Data Science (SDS)
The Chinese University of Hong Kong, Shenzhen (CUHK-SZ)

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  • Address: Office 420D, Daoyuan Building, CUHK-SZ


My research interest lies in the interface of statistics and optimization inspired by important applications (sensor networks, healthcare, and industrial quality control), with a particular interest in sequential change-point detection, distributionally robust hypothesis testing, and spatio-temporal modeling.


June 2021, officially joined the School of Data Science (SDS), The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) as an Assistant Professor. I am actively looking for Postdoc and Ph.D. students with solid mathematics and programming backgrounds. Please send me an email with your CV if you are interested.

May 2021, received the Robert Goodell Brown Fellowship for excellence in research (Data Science and Statistics).

January 2021, selected as the Outstanding Graduate Teaching Assistant for School of Industrial and Systems Engineering.

October 2020, selected to participate in EECS Rising Star 2020 Workshop, which is an intensive workshop aimed at increasing the numbers of women interested in pursuing academic careers in computer science, computer engineering and electrical engineering.

October 2020, received the IDEaS-TRIAD research fellowship for Spring 2021 semester.

Summer 2020, taught an undergraduate course ISYE 3030 (Basic Statistical Methods) at Georgia Tech (first time being an independent instructor!) and received the Tech to Teaching certificates from Center for Teaching and Learning, this program is designed to prepare Georgia Tech graduate students and postdocs for college teaching positions.

November 2019, received the ARC-TRIAD fellowship for the spring semester 2020.

October 2019, received the third prize for poster competition in Georgia Statistics Day 2019.

September 2019, enter into the finalist of 2019 INFORMS QSR best student paper competition for the paper entitled ‘‘Optimal Sequential Subspace Change-point Detection’’.

August 2019, selected as a runner-up for the INFORMS Computing Society Student Paper Prize for paper ‘‘Robust Hypothesis Testing with Wasserstein Uncertainty Sets’’.

August 2019, attended the Foundation of Data Science Summer School sponsored by the NSF TRIPODS Institutes at the Georgia Institute of Technology.

May 2019, received the Travel Grant from the ISIT 2019 conference, and will present the paper “Asynchronous multi-sensor change-point detection for seismic tremors”, joint work with George V. Moutakides and Yao Xie.

May 2019, presented a poster “Robust Hypothesis Testing Using Wasserstein Uncertainty Sets” in WuFest and won the best poster award.

February 2019, attended the 14th CSL Student Conference held in UIUC.