XU Cong

Assistant Professor Department of Statistics and Data Science

Personal Profile

2009-2014, Ph.D., Statistics, Department of Statistics, University of California, Davis
2005-2009, B.S., Statistics, Special Class for the Gifted Young (SCGY), University of Science and Technology of China


Dec 2019 – Present, Assistant Professor, Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China
Oct 2017 - Dec 2019, Researcher, Cloud and Smart Industry Group, Tencent Technology, Shenzhen, China
Oct 2015 - Oct 2017, Postdoctoral Researcher, Plevritis Lab, School of Medicine, Stanford University
Jul 2014 - Sep 2015, Senior Biostatistician, Integrated Quantitative Sciences, Novartis Pharmaceuticals, Shanghai, China


Survival Analysis, Computational Statistics


MA409 Statsitical Data Analysis (SAS)

MA405 Survival Analysis

Publications Read More

Xu, C., Hadjipantelis, P.Z. and Wang, J.L. (2020) Semiparametric joint modeling of survival and longitudinal data: The R package JSM. Journal of Statistical Software 93(2) doi: 10.18637/jss.v093.i02

Caswell-Jin J.L. et al. including Xu, C. (2018) Change in survival in metastatic breast cancer with treatment advances: meta-analysis and systematic review. JNCI Cancer Spectrum 2(4): pky062

Munoz, D.F., Xu, C. and Plevritis, S.K. (2018) A molecular subtype-specific stochastic simulation model of US breast cancer incidence, survival and mortality trends from 1975 to 2010. Medical Decision Making doi:10.1177/0272989X17737508

Plevritis, S.K. et al. including Xu, C. (2018). Association of screening and treatment with breast cancer mortality by molecular subtype in US women, 2000 to 2012. Journal of the American Medical Association 319(2): 154-164.

Lacour, J.P. et al. including Xu, C. (2017) Secukinumab administration by autoinjector maintains reduction of plaque psoriasis severity over 52 weeks: results of the randomized controlled JUNCTURE trial. Journal of the European Academy of Dermatology and Venereology doi: 10.1111/jdv.14073.

Carey, J.R., Liedo, P., Xu, C., Wang, J.L., Müller, H.G., Su, Y.R. and Vaupel, J.W. (2016) Diet shapes mortality response to trauma in old tephritid fruite flies. PLoS One 11(7): e0158468

Xu, C., Baines, P.D. and Wang, J.L. (2015) Improved estimation and uncertainty quantification using Monte Carlo-based optimization algorithms. Journal of Computational and Graphical Statistics 24(3): 771-791.

Xu, C., Baines, P.D. and Wang, J.L. (2014) Standard error estimation in the EM algorithm when joint modeling of survival and longitudinal data. Biostatistics 15(4): 731-744.

News More

  • SUSTech Launches New Dept of Statistics and Data Science


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Join us

The Department of Statistics and Data Science was established in April 2019. As a newly established department, we currently have 9 faculty members including 1 Chair Professor, 3 Professors, 2 Associate Professors , 2 Tenure-track Assistant Professors and 1 Visiting Assistant Professor and anticipant to rapidly expand to a team of more than 20 members. All faculty members of the department have extensive overseas study or work experiences. One member is an invited speaker at the International Congress of Mathematicians, an IMS Medallion Lecturer and a winner of the prestigious State Natural Science Award (2nd class). The department has 2 research directions, Statistics and Data Science, which cover a broad array of research areas including Biostatistics, Financial Statistics, Experiment Design, Clinical Trials, High Dimensional Data, Time series, Probability Theory, Data Science and Big Data Technology.

At present, the department has an undergraduate program as well as two graduate programs(M.Phil and PhD). The department is in the process of developing a Major Program in Data Science and Big Data Technology. In 2019, the first batch of 38 undergraduate students in Statistics received the bachelor degree from SUSTech. 5 M.Phil students in Statistics also graduated in the same year. There are currently 9 M.Phil students, 7 PhD students in Statistics and 2 Postdoctoral Fellows. As the department grows in size and strength, the number of graduate students is expected to rise substantially from the current level and the areas of graduate studies will also expand to include Data Science and Big Data Technology.
This is the age of big data which offers exciting opportunities to researchers in Statistics and Data Science. Our department is expected to grow rapidly in the coming years. We invite outstanding scholars to join us in our journey to become a first-class department in Statistics and Data Science. We also welcome brilliant undergraduate and graduate students to apply for our programs. At the same time, we actively recruit excellent postdoctoral candidates.

The Department of Statistics and Data Science: https://stat-ds.sustech.edu.cn/
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Contact Address

Room 405-1, Innovation Building 8

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