Dewei Wang updated on 02/21/2018 Contact Information Department of Statistics Email: deweiwang@stat.sc.edu 1523 Greene Street Website: http://people.stat.sc.edu/wang528 Columbia, SC 29208 Education Ph.D. in Mathematical Sciences, Clemson University, 2014 M.S. in Mathematical Sciences, Clemson University, 2011 B.S. in Statistics, University of Science and Technology of China, 2008 Professional Experiences University of South Carolina, Department of Statistics - Columbia, SC Assistant Professor: August 2014 - Present Clemson University, Department of Mathematical Sciences - Clemson, SC Graduate Assistant: August 2008 - May 2014 Current Research Interests Nonparametric and semiparametric regression, group testing data analysis, pooled biomarker data analysis, shrinkage methods, quantile regression, stochastic ordering. Publications *advsiee 1. Wang, D., Jiang, C., and Park, C. (2018). Reliability analysis of load-sharing systems with memory. Lifetime Data Analysis, in print. 2. Wang, D., McMahan, C., Tebbs, J., and Bilder, C. (2018). Group testing case identification with biomarker information. Computational Statistics and Data Analysis 122, 156 166. 3. Russell, B., Wang, D., and McMahan, C. (2017). Spatially modeling the effects of meteorological drivers of PM2.5 in the eastern United States via a local linear penalized quantile regression estimator. Environmetrics 28:e2448, 1 16 4. Tang, C., Wang, D., and Tebbs, J. (2017). Nonparametric goodness-of-fit tests for uniform stochastic ordering. Annals of Statistics 46, 2565 2589. 5. Wang, D., McMahan, C., and Gallagher, C. (2015). A general parametric regression framework for group testing data with dilution effects. Statistics in Medicine 34, 3606 3621. 6. Wang, D., McMahan, C., Gallagher, C., and Kulasekera, K. (2014). Semiparametric group testing regression models. Biometrika 101, 587 598. 7. Wang, D., Zhou, H., and Kulasekera, K. (2013). A semi-local likelihood regression estimator of the proportion based on group testing data. Journal of Nonparametric Statistics 25, 209 21. 8. Wang, D. and Kulasekera, K. (2012). Parametric component detection and variable selection in varying-coefficient partially linear models. Journal of Multivariate Analysis 112, 117 129.
Manuscripts Under Review 9. Lin, J. and Wang, D. (2018). Single-index regression for pooled biomarker data. Journal of Nonparametric Statistics, minor revision. 10. Gregory, K., Wang, D., and McMahan C. (2018+). The adaptive elastic net regression with group testing data. Biometrics, major revision. 11. Hou, P., Tebbs, J., Wang, D., McMahan C., and Bilder, C. (2018+). Array testing with multiplex assays. Biostatistics, under review. Ongoing projects 12. Tang, C., El Barmin, H., Wang, D., and Tebbs, J. (2018+). An empirical likelihood ratio test for positive quadrant dependence. 13. Lin, J. and Wang, D. (2018+). A joint parametric modeling of multiple-infection group testing data with a marginal variable selection. 14. Mou, X., Wang, D., and Tebbs, J. (2018+). Nonparametric conditional density deconvolution for aggregated data. 15. Mou, X., Wang, D., and Tebbs, J. (2018+). Nonparametric conditional density deconvolution under homogeneous pooling. 16. Tang, C* and Wang, D. (2018+). Majorant based nonparametric test for stochastic ordering across multiple distributions. Grant Applied NIH R21 grant proposal. (2016). Semiparametric Regression Analysis Based on Pooled Biomarker Assessments. Role: Principal Investigator. NIH R03 grant proposal. (2017). Flexible biomarker evaluation through a cost-effective data collection mechanism. Role: Principal Investigator. NSF DMS grant proposal. (2017). Collaborative Research: Quantile regression approaches for investigating heterogeneity in massive complex data. Role: Principal Investigator. Invited Seminars Nonparametric goodness-of-fit tests for uniform stochastic ordering. Department of Finance and Statistics, University of Science and Technology of China, Hefei, China. December, 2015. Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC. November, 2015. Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY. March, 2017. Estimation of single index models with aggregated responses. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC. March, 2015. Topics in semiparametric group testing Department of Mathematical Sciences, Binghamton University, Binghamton, NY. February, 2014. Department of Statistics, University of South Carolina, Columbia, SC. February, 2014. Division of Statistics, Northern Illinois University, DeKalb, IL. February, 2014. Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC. January, 2014. Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, Memphis, TN. January, 2014.
Research Presentations A group testing design that can achieve more by doing less. Contributed poster presentation. ENAR 2018 Spring Meeting, Atlanta, GA, March 2018. Nonparametric conditional density estimation for biomarkers based on pooled assessments. ENAR 2018 Spring Meeting, Atlanta, GA, March 2018. *Oral presentation by Xichen Mou. Bayesian regression analysis of multiple-infection group testing data with a consideration of dilution effects. ENAR 2018 Spring Meeting, Atlanta, GA, March 2018. *Oral presentation by Juexin Lin. Multivariate logistic regression analysis for multiple-infection group testing data. Joint Statistical Meetings, Baltimore, MD, July 2017. *Poster presentation by Juexin Lin. Marginal regression analysis for multiple-infection group testing data with application to Infertility Prevention Project. Southern Regional Council on Statistics, Jekyll Island, GA, June 2017. *Poster presentation by Juexin Lin. Single index regression for pooled biomarker data. ENAR Spring Meetings, Washington D. C. March 2017. *Oral presentation by Juexin Lin. A general parametric regression framework for multiple-infection group testing data. ENAR Spring Meetings, Washington D. C., March 2017. Semiparametric regression analysis for multiple-disease group testing data. Invited session at 2016 ICSA Applied Statistics Symposium, Atlanta, GA, June, 2016. Nonparametric tests of uniform stochastic ordering. Joint Statistical Meetings, Seattle, WA, August, 2015. *Oral presentation by Chuan-Fa Tang. Array-based group testing algorithms for multiple infections. WA, August, 2015. *Oral presentation by Peijie Hou. Joint Statistical Meetings, Seattle, Case identification and regression estimation in group testing when dilution effects are present. Joint Statistical Meetings, Seattle, WA, August, 2015. Estimation for an aggregated single-index model. Invited talk at ICSA 2015 China, Shanghai, China, July 2015. Nonparametric test of uniform stochastic ordering. IMS China 2015, Kunming, China, July, 2015. A regression framework for group testing data which incorporates pool dilution effects. Southern Regional Council on Statistics Summer Research Conference, Carolina Beach, NC, June, 2015. Junior faculty poster presentation Distribution free testing procedures of uniform stochastic ordering between two populations. Southern Regional Council on Statistics Summer Research Conference, Carolina Beach, NC, June, 2015. *Contributed poster presentation by Chuan-Fa Tang. Comparison of group testing algorithms for case identification in the presence of dilution effect. ENAR Spring Meetings, Miami, FL, March, 2015. Nonparametric tests of uniform stochastic ordering. ENAR Spring Meetings, Miami, FL, March, 2015. *Oral presentation by Chuan-Fa Tang A regression framework for group testing data which incorporates pool dilution effects. Colombo, Sri Lanka, December, 2014. *Oral presentation by Christopher S. McMahan IASSL, Semiparametric group testing regression models. IASSL 2014, Colombo, Sri Lanka, December, 2014. *Oral presentation by Colin M. Gallagher. A semi-local likelihood regression estimator of the proportion based on group testing data. IASSL 2014, Colombo, Sri Lanka. December, 2014, *Oral presentation by Karunarathn B. Kulasekera. Array-based group testing algorithms for multiple infections. South Carolina Statistics Consortium, Clemson, SC, November, 2014. *Poster presentation by Peijie Hou. Semiparametric group testing regression models. ENAR Spring Meetings, Baltimore, MD, March, 2013.
The Bayesian generalized lasso. Contributed poster presentation, OBayes 2013, Durham, NC, December, 2013. Semiparametric group testing regression models. Invited talk, Mini-conference in honor of Robert Taylor, Clemson, SC, November, 2013. A new semiparametric framework for modeling group testing data. Joint Statistical Meetings, Montreal, Canada, August, 2013. A semi-local likelihood regression method for group testing data. Joint Statistical Meetings, Montreal, Canada, August, 2013. Semiparametric group testing models. Contributed poster presentation, the Southern Regional Council on Statistics Summer Research Conference, Burns, TN, June, 2013. Semiparametric regression analysis of group testing data. Columbia, SC, March, 2013. South Carolina Chapter of the ASA, Estimation in group testing models with unknown link function. Contributed poster presentation, the Southern Regional Council on Statistics Summer Research Conference, Jekyll island, GA, June, 2012. Honors and Awards Travel Award for the ENAR Spring Meeting (Workshop for Junior Researchers), Washington, D.C., 2017 Outstanding PhD Student, Department of Mathematical Sciences, Clemson University, 2013 Boyd Harshbarger Award, SRCoS, 2012 and 2013 Best Presentation Award, SC-ASA, 2013 Outstanding Student Scholarship, University of Science and Technology of China, 2004-2007 Graduate Student Advising Doctoral Graduate Advising Xiangyang Cao, Ph.D., Expected 2020 (Co-advise with Karl Gregory) Xichen Mou, Ph.D., Expected 2019 (Co-advise with Joshua Tebbs) Juexin Lin, Ph.D., Expected 2018 Chuan-Fa Tang, Ph.D., graduated 2017, Nonparametric inference for orderings and associations between two random variables. (Co-advise with Joshua Tebbs) Peijie Hou, Ph.D., graduated 2017, Topics in group testing with multiple traits. (Co-advise with Joshua Tebbs). Committee Member Department of Statistics: Haifeng Wu, Ph.D. (2016) Other Departments: Shuang Liu (Mathematics, qualify exam) Xiaofei Yi (Mathematics, qualify exam) Shuai Yuan (Mathematics, qualify exam) Alexander Brylev (Mathematics, defense)
Departmental Service January 2017 qualifying exam Committee Computer committee (2016-present) Instructor search committee (2016) Undergraduate advisory committee (2015-present) MAS exam committee (2015-2016) Faculty advisor of the Stat Club and the Mu Sigma Rho (2014-present) Professional Activities Vice-president, South Carolina Chapter of American Statistical Association, (March, 2017-present). Session Chair, Infectious disease models. ENAR 2018 Spring Meeting. Atlanta, GA. Treasurer, South Carolina Chapter of American Statistical Association, (2016-March, 2017). Organizer and Chair of the Invited Session, Biomarker pooling and group testing. Latent Variables Conference, 2016. Columbia, SC. Organizer and Chair of the Topic-Contribute Session Variable selection and applications of semiparametric models. The 4th Institute of Mathematical Statistics Asia Pacific Rim Meeting, Hong Kong, China. Referee Service Statistics and Probability Letters, Statistics in Medicine, Journal of Nonparametric Statistics, Communications in Statistics - Theory and Methods, PLOS ONE, Journal of Multivariate Analysis Professional Organizations South Carolina Chapter of American Statistical Association International Chinese Statistics Association International Biometric Society Institute of Mathematical Statistics American Statistical Association Teaching University of South Carolina STAT 823, Large Sample Theory: Spring 2018 (14 students) STAT 509, Statistics for Engineers: Fall 2017 (20 students) STAT 513, Theory of Statistical Inference: Fall 2017 (15 students) STAT 512, Mathematical Statistics: Spring 2017 (25 students) STAT 511, Probability: Fall 2016 (52 students) STAT 509, Statistics for Engineers: Fall 2016 (19 students) STAT 823, Large Sample Theory: Spring 2016 (13 students) STAT 509, Statistics for Engineers: Fall 2015 (47 students) STAT 720, Time Series Analysis: Spring 2015 (11 students) STAT 509, Statistics for Engineers: Fall 2014 (45 students) Clemson University MATH 302, Statistics for Science and Engineering (4 sections) MATH 309, Introductory Business Statistics (1 section)
Attended Teaching Workshop CTE workshop: Teach like a coach: a time honored approach to learning. November 02, 2016.