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Former and Current Students

Graduate Students and Their Research Topics

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  • Felicia Trachtenberg (Ph.D 2000), on maximum likelihood estimation of item response theory models. Statistician at New England Research Institute, Boston.

  • Li Liu, (Ph.D 2000), on spline models after dimension reduction based on canonical correlation. Initial appointment: Postdoctoral Fellow at National Institute of Statistical Sciences. Currently Statistician at Sanofi-Aventis .

  • Mi-Ok Kim (Ph.D 2002), on quantile regression models with time-varying coefficients. Associate Professor, Center for Epidemiology and Biostatistics, Cincinnati Children's Hospital Medical Center, and University of Cincinnati.

  • Maria Kocherginsky (Ph.D 2003), on transformations in Markov chain marginal bootstrap, a resampling method for large dimensional problems. Research Associate/Associate Professor, Department of Health Studies, The University of Chicago.

  • Nan Lin (Ph.D 2003), on statistical problems with imprecisely or incompletely observed data. Associate Professor, Department of Mathematics, Washington University in St. Louis.

  • Ying Wei (Ph.D 2004), on longitudinal growth charts. Professor, Department of Biostatistics, Columbia University.

  • Yunming Mu (Ph.D 2005), on transformations in quantile regression models. Senior Statistical Scientist at Genentech. Former Assistant Professor, Department of Statistics, Texas A&M University.

  • Jianhui Zhou (Ph.D 2005), on robust multivariate analysis and dimension reduction. Associate Professor, Department of Statistics, University of Virginia.

  • Tianyue Zhou (Ph.D, 2005), on mixed models for nornormal data. Initial appointment: Biostatistician at Sanofi-Aventis.

  • Huixia Wang, (Ph.D 2006), on quantile models with random effects with applications to microarray data analysis. Initial appointment: Assistant Professor, Department of Statistics, North Carolina State University. Currently Professor of Statistics, George Washington University.

  • Doug Noe (Ph.D 2006), on partially Bayesian approach to tree-based classifications. Appointments: Assistant and Associate Professor, Department of Mathematics and Statistics, Miami University.

  • Di Li, (Ph.D 2007), on Markov chain marginal bootstrap for generalized estimation equations. Associate Director, Biostatistics at Eisai.

  • Hyokyoung (Grace) Hong, (Ph.D 2008), on predictive ordinal models in aging research. Assistant Professor, Department of Statistics and Probability, Michigan State University. Former Assistant Professor, Baruch College, The City University of New York.

  • Guixian Lin, (Ph.D 2009, co-advised by Professor Steve Portnoy), on quantile regression with censored data. Research Statistician at SAS Institute Inc. Raleigh-Durham, North Carolina.

  • Xingdong Feng, (PhD 2009), on Dimensionality of data matrices with applications to gene expression profiles. Associate Professor, School of Statistics and Management, Shanghai University of Finance and Economics. Former Postdoctoral Fellow, National Institute of Statistical Sciences.

  • Feng Hong (PhD 2009), on some statistical problems related to microarray data (co-advised by Professor Sheng Zhong and Professor Sandra L. Rodriguez-Zas, ). Statistician at Abbott Laboratories, Boston. Former Postdoctoral Fellow, Department of Statistics, Harvard University.

  • Ji-Yeon Yang, (Ph.D 2010), on statictial modeling of protein array data. Assistant Professor, Kumoh National Institute of Technology, Korea. Former Statistical Analyst, MD Anderson Cancer Center, and Visiting Assistant Professor, Department of Mathematics, Claremont Mckenna College.

  • Ya-Hui Hsu, (Ph.D 2010), on analysis of expected shortfalls, with applications to quantification of financial risks and of treatment effects. Senior Research Statistician at AbbVie.

  • Ji Young Kim (Ph.D 2010), on robust methods for analyzing multivariate responses with applications to time-course data. Assistant Professor, Department of Mathematics and Statistics, Mount Holyoke College .

  • Yunwen Yang (Ph.D, 2011) on Bayesian empirical likelihood methods for quantile modeling. Assistant Professor, Department of Epidemiology and Biostatistics, Drexel University .

  • Erin Condon (Ph.D, 2012), Varying coefficients in logistic regression on modeling and prediction with applications to marketing research. R&D Consultant for Consumer & Shopper Insights at SymphonyIRI Group.

  • Juan Shen (Ph.D, 2014), Model-based Inference for Subgroup Analysis. Assistant Professor, Department of Statistics, Fudan University (China).

  • Naveen Naidu Narisetty, (Ph.D, 2015) (co-advised by Vijay Nair), on Bayesian model selection for high dimensional data. Assistant Professor of Statistics, University of Illinois at Urbana-Champaign.

  • Seyoung Park (Ph.D, 2015) (co-advised by Shuheng Zhou ). Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions. Initial appointment: Postdoctoral Fellow, Department of Biostatistics, Yale University.

  • Yingchuan Wang (Ph.D, 2015). Logistic-Normal Mixtures with Heterogeneous Components and High Dimensional Covariates. Initial appointment: Goldman Sachs, New York.

  • Alexander Giessing (Ph.D, 2017). On High-Dimensional Misspecified Quantile Regression. Initial appointment: Postdoctoral Fellow, Princeton University.

  • Jingshen Wang (Ph.D, 2019). Debiased Post Selection Inference. Initial appointment: Assistant Professor of Biostatistics, University of California, Berkeley.

  • Xinzhou Guo (Ph.D, 2019), Subgroup Analysis: Rish Quantification and Debiased Inference. Initial appointment: Postdoc Fellow, Harvard-MIT Center for Regularoty Science.

  • Yuan Sun, Ph.D student.

  • Yinqiu He, Ph.D student (primiary advisor: Gongjun Xu).

  • Anwesha Bhattacharyya, Ph.D student (primiary advisor: Yves Atchade).

  • Yuanzhi Li, Ph.D candidate

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Wish to join us?

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Each student is different, but I am proud of all the students I have. To be one of them, you must be a motivated and dedicated student. You need to be willing to meet with me regularly and enjoy team work (in addition to independent study).

Want to hire a good statistician?

Whether you are looking for a good researcher, a young post-doc, or a summer intern in statistics, biostatistics or bioinformatics, feel free to contact me. One of my students might be perfect for the post.

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Former and Current Students: Text
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