EducationPhD in Statistics (2015): Department of Statistics and Probability, Michigan State University. Advisors: Yuehua Cui and PingShou Zhong.Dual PhD in Quantitative Biology (2015): Natural Science, Michigan State University. Advisors: C. Robin Buell and Yuehua Cui. MS in Mathematics (2010): Center of Mathematical Sciences, Zhejiang University. Advisor: Kefeng Liu. BS in Mathematics and Applied Mathematics (2007): Department of Mathematics, Tianjin University, Tian, China. See my Curriculum Vitae for more information. Research InterestsStatistical Analysis for Longitudinal and Functional DataHigh Dimensional Statistical Inference and its Applications Machine Learning/Deep Learning Nonparametric Statistics Empirical Likelihood Methods and its Applications Statistical Genetics and Statistical Genomics Publications
Funded Research Grants§§§ SolePI, 09/201609/2017, NSF subcontractNews§§§ Invited TalkRobust Estimation of Heterogeneous Treatment Effect using Electronic Health Record Data, April 17, 2020 @ Department of Bioinformatics and Biostatistics Seminar @ University of Louisville§§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, June 10, 2019 @ ICSA Applied Statistics Symposium @ Raleigh, North Carolina §§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, May 31, 2019 @ Symposium on Data Science and Statistics @ Bellevue, Washington §§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, October 28, 2018 @ AMS Sectional MeetingSpecial Session on Big Data and Statistical Analytics @ San Francisco State University, San Francisco §§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, July 04, 2018 @ 2018 ICSA China Conference with the Focus on Data Science @ Qingdao §§§ Invited TalkEmpirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models, July 01, 2018 @ The 8th International Forum on Statistics @ Renmin University of China, Beijing §§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, June 25, 2018 @ College of Mathematics and Statistics @ SHunan Normal University, Changsha §§§ Invited TalkRobust Graph Changepoint Detection for Brain Evolvement Study, June 13, 2018 @ School of Statistics and Management @ Shanghai University of Finance and Economics, Shanghai §§§ Invited TalkUnified empirical likelihood ratio tests for functional linear models and the phase transition from sparse to dense functional data, April 20, 2018 @ DMS Colloquium @ Auburn University, Auburn, Alabama §§§ PosterEmpirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models, August 1214, 2017 @ Second Workshop on HigherOrder Asymptotics and PostSelection Inference (WHOAPSI)^{2} @ Washington University in St. Louis §§§ Invited TalkEmpirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models, June 2528, 2017 @ 2017 ICSA Applied Statistics Symposium @ Hilton Chicago Downtown, Chicago §§§ PosterUnified empirical likelihood ratio tests for functional linear models and the phase transition from sparse to dense functional data, October 67, 2016 @ Nonparametric Statistics Workshop @ University of Michigan, Ann Arbor §§§ Contributed TalkTesting Lowdimensional Coefficients in High Dimensional Heteroscedastic Linear Models, Jul. 30Aug. 04, 2016 @ Joint Statistical Meetings (JSM) @ McCormick Place, Chicago §§§ Invited TalkUnified empirical likelihood ratio tests for functional linear models and the phase transition from sparse to dense functional data, May 2729, 2016 @ Big Statistics & Data Science Joint Conference @ Renmin University of China, Beijing, China §§§ Contributed TalkProvable Smoothing Approach in High Dimensional Generalized Regression Models, Mar. 07, 2016 @ ENAR @ JW Marriott Austin, in Austin, Texas §§§ Research TalkProvable Smoothing Approach in High Dimensional Generalized Regression Models, Feb. 03, 2016 @ Statistics Seminar @ IUPUI §§§ Invited TalkUnified empirical likelihood ratio tests for functional linear models and the phase transition from sparse to dense functional data, Sep. 18, 2015 @ Biostatistics Seminar @ IUPUI §§§ Research TalkTesting Lowdimensional Coefficients in High Dimensional Heteroscedastic Linear Models, Sep. 11, 2015 @ Statistics Seminar @ IUPUI §§§ Organizing 2015 Summer Short Course: Neuroimaging Data Analysis, Instructor: Mark Reimers, May 26, June 2, June 9, @ MSU Teaching2020 Fall, Statistical Computing (STAT5210024694) @ IUPUI2020 Fall, Statistical Modelling Using R and SAS (STAT4210027317) @ IUPUI 2020 Fall, Introduction to Statistics (STAT3500028998) @ IUPUI 2020 Summer, Introduction to Statistics (STAT3500011121) @ IUPUI 2020 Spring, Statistical Inference (STAT5170020616) @ IUPUI 2020 Spring, Statistical Theory (STAT4170020611) @ IUPUI 2020 Spring, Introduction to Statistics (STAT3500021296) @ IUPUI 2019 Fall, Statistical Computing (STAT5210024302) @ IUPUI 2019 Fall, Statistical Modelling Using R and SAS (STAT4210027207) @ IUPUI 2019 Fall, Introduction to Statistics (STAT3500030888) @ IUPUI 2019 Spring, Statistical Inference (STAT5170021724) @ IUPUI 2019 Spring, Introduction to Statistics (STAT3500022480) @ IUPUI 2018 Fall, Statistical Computing (STAT5210022838) @ IUPUI 2018 Fall, Statistical Modelling Using R and SAS (STAT4210026037) @ IUPUI 2018 Fall, Introduction to Statistics (STAT3500025873) @ IUPUI 2018 Spring, Statistical Inference (STAT5170022537) @ IUPUI 2018 Spring, Introduction to Statistics (STAT3500023995) @ IUPUI 2017 Fall, Statistical Computing (STAT5210022940) @ IUPUI 2017 Fall, Statistical Modelling Using R and SAS (STAT4210026466) @ IUPUI 2017 Fall, Introduction to Statistics (STAT3500026266) @ IUPUI 2017 Spring, Advanced Statistical InferenceNonparametric Regression (STAT6280031654) @ IUPUI 2016 Fall, Applied Regression Analysis (STAT5120021329) @ IUPUI 2016 Fall, Introduction to Statistics (STAT3500022433) @ IUPUI 2016 Spring, Introduction to Statistics (STAT3500024592) @ IUPUI 2015 Fall, Introduction to Statistics (STAT3500023646 and STAT3500024842) @ IUPUI 2012 Summer, Intro Stats (STT200) @ MSU 2013 Summer, Intro Prob & Stat for Business (STT315) @ MSU Service2018 Fallpresent, Faculty advisor of IUPUI ASA Student Chapter2020 Fall, Organizer of Statistics Seminars @ IUPUI. 2020 Spring, Organizer of Statistics Seminars @ IUPUI. 2019 Fall, Organizer of Statistics Seminars @ IUPUI. 2019 Spring, Organizer of Statistics Seminars @ IUPUI. 2018 Fall, Organizer of Statistics Seminars @ IUPUI. 2018 Spring, Organizer of Statistics Seminars @ IUPUI. 2013 Fall, Chairman of Statistics Student Seminars (SSS) on Paper Reading @ MSU. 2012 Fall2013 Spring, Chairman of Statistics Student Seminars (SSS) on Graphical Models @ MSU. 2011 Fall2012 Spring, Chairman of Statistics Student Seminars (SSS) @ MSU. Honors and AwardsPurdue Research Foundation Summer Faculty Grant (2019), Purdue UniversityPurdue Research Foundation International Travel Grant (2018), Purdue University Travel Award for the "20th Meeting of New Researchers in Statistics and Probability" (2018), Institute of Mathematical Statistics NSF Travel Award for The Nonparametric Statistics Workshop entitled "Integration of Theory, Methods and Applications" (2016), University of Michigan, Ann Arbor College of Natural Science US15 Dissertation Completion Fellowship (2015), Michigan State University College of Natural Science US14 Dissertation Continuation Fellowship (2014), Michigan State University William L Harkness Teaching Award, Michigan State University (2014) Travel Award of GAW18 (2012) Secondclass Award of Honor for Graduate, Zhejiang University (2008) First Prize in the 13th National Graduate Summer School in Mathematics (2008) Scholarship for Academic Excellence, Tianjin University (20052006) 6th Outstanding Student of Science and Technology in Tianjin University (2005) Tianjin UniversityYuandong Chunguang Scholarship (2005) Scholarship for Academic Excellence, Tianjin University (2004) PersonalAcademic Blog 
PhD Students

Ruohong Li  PhD student in Biostatistics (coadvised with Dr. Wanzhu Tu)
Causal Inference, Machine Learning, Biostatistics 


Wenzhe Jiao  PhD student in Earth Sicence (advised under Dr. Lixin Wang) with minor in applied statistics (advised under me)
Drought, Spatiotemporal, Machine Learning, Earth Science 


Yishan Cui 
PhD student in Applied Statistics. Semiparametric Inference 


Xiang Wang 
PhD student in Applied Statistics. Functional Data Analysis, Nonparametric Smoothing 

Master Students