Doctoral students at UIUC:
- (2011) Peng Wang, Ph.D. (NSF Research Assistant) (Laha Travel Award, 2011). Thesis: “Mixed-effects modeling and correlation structure selection for high dimensional correlated data.” Current job: Assistant Professor, University of Cincinnati, Operation, Business Analytics and Information Systems.
- (2013) Hyunkeun (Ryan) Cho, Ph.D. (NSF Research Assistant). (Norton Prize Thesis Honorable Mention, Dept. of Statistics, UIUC, 2013.) Thesis: “Model selection for correlated data and moment selection from high-dimensional moment conditions.” First job: Assistant Professor, Western Michigan University, Statistics Department. Current Job: Assistant Professor, University of Iowa, Dept. of Biostatistics.
- (2014) Xinxin Shu, Ph.D. (NSF Research Assistant) (Student Paper Competition Award from Computing and Graphics Section, ASA, 2013). Thesis: “Time-varying network estimation and Chinese words segmentation.” First job: Biostatistician, Merck, New Jersey. Current job: Quantitative Analytics Senior, Freddie Mac.
- (2015) Peibei Shi, Ph.D. (NSF Research Assistant) (ENAR Distinguished Student Paper Award, 2015; Student Paper Competition Award from Statistical Learning and Data Mining Section, ASA, 2015). Thesis: “Weak signal identification and inference in model selection.” Postdoc: University of Michigan, Biostatistics. Current job: Statistician and Data Scientist, Facebook Research Lab..
- (2016) Xuan Bi, Ph.D. (NSF Research Assistant) Norton Prize Thesis Award, Dept. of Statistics, UIUC, 2014; Student Paper Competition Award from Statistical Learning and Data Mining Section, ASA, 2016. Thesis: “Dimension reduction and efficient recommender system for large-scale complex data.” Postdoc: Yale University, Biostatistics. Current job: Assistant Professor at Carlson School of Management, U. of Minnesota.
- (2017) Christopher Kinson, Ph.D. (NSF Fellowship, 2012-2016). Thesis: Longitudinal principal components analysis for binary and continuous data. Current job: Teaching Assistant Professor: University of Illinois at Urbana – Champaign, Dept. of Statistics.
- (2017) Xiwei Tang, Ph.D. (NSF Research Assistant). Norton Prize Thesis Honorable Mention, Dept. of Statistics, UIUC, 2016. Student Paper Competition Award from Statistical Learning and Data Mining Section, ASA, 2017. Thesis: Individualized learning and integration for multi-modality data. Current job: Assistant Professor, University of Virginia, Dept. of Statistics.
- (2017) Xiaolu Zhu, Ph.D. (NSF Research Assistant). Student Paper Award by ASA Biopharmaceutical, ICSA Applied Statistics Symposium, 2016. Thesis: Heteogeneity modeling and longitudinal clustering. Current job: Statistician and Data Scientist, Amazon, Seattle.
- (2019) Fei Xue, Ph.D. (NSF Research Assistant). Norton Prize Thesis Honorable Mention, Dept. of Statistics, UIUC, 2018. Student Paper Competition Award from Statistical Learning and Data Mining Section, ASA, 2018. IMS Hanna Graduate Student Travel Award, 2019. Thesis Title: “Variable selection for high-dimensional complex data.” Postdoc: Dept. of Biostatistics, U. of Pennsylvania.
- Yubai Yuan, Ph.D. student (NSF Research Assistant). Student Paper Competition Award from Statistical Learning and Data Mining Section, ASA, 2019.
- Yujia Deng, Ph.D. student (NSF Research Assistant). Student Paper Competition Award from Statistics in Imaging Section, ASA, 2019. Student Poster Award for ASA Statistics Methods in Imaging Conference, 2019.
Doctoral students and Postdoc at Oregon State:
- (2005) Guei-Feng (Cindy) Tsai, Ph.D. (NSF Research Assistant, 2004-2005). Thesis: “Semiparametric marginal and mixed models for longitudinal data.” Current job: Center for Drug Evaluation, Taiwan.
- (2008) Lin Lu, Ph. D. (NSF Research Assistant, 2005 – 2007) (Co-advisor with David Birkes). Thesis: “Unconditional estimating equation approaches for missing data.” Current job: Director of Biostatistics, Nektar Therapeutic.
- (2010) Xianlong Wang, Ph.D. (NSF Research Assistant, 2007 – 2008). Thesis: “Efficient classification for longitudinal data.” First job: Research Scientist, Fred Hutchinson Cancer Research Center. Current Job: Machine Learning Scientist, Amazon Web Services.
- Li Wang, Ph.D., Postdoc/Research Associate (supported by NSF), 2006-2007. Current job: Risk Management Consultant, Wells Fargo.