Qing Mai Department of Statistics Email: [email protected] Florida State University Homepage: https://ani.stat.fsu.edu/~mai/ 214 OSB, 117 N. Woodward Ave. Tallahassee, FL32306

Education Ph.D, Statistics, University of Minnesota, 2013. B.S., Statistics, Nankai University, 2008.

Position Assistant Professor (2013–present), Florida State University.

Research Variable selection, High-dimensional data analysis, Semiparametric and Interests nonparametric statistics, Dimension reduction.

Honors and The 51st SRCOS Summer Research Conference Travel Award, 2015, Sout- Awards hern Regional Council on Statistics.

First Year Assistant Professor (FYAP) Summer Award, 2014, Florida State University, Council on Research and Creativity.

Alumni fellowship (Fall 2010– Spring 2011), School of Statistics, Univer- sity of Minnesota.

Best thesis, 2008, Nankai University.

Grants National Science Foundation, CCF 1617691, 2016–2019, co-PI. Awarded Amount: $ 414,215.00.

Papers Pan, Y.1, Mai, Q. and Zhang, X. (2018). Covariate-adjusted Tensor Clas- sification in High Dimensions. Journal of the American Statistical Asso- ciation, tentatively accepted pending minor revision.

Mai, Q. and Zhang, X. (2018). An Iterative Penalized Least Squares Approach to Sparse Canonical Correlation Analysis. Biometrics, revision invited.

Zhang, X. and Mai, Q. (2018). Efficient integration of sufficient dimension reduction and prediction in discriminant analysis. Technometrics, first- round revision submitted.

Zhang, X. and Mai, Q. (2018). Model-Free Envelope Dimension Selection. Electronic Journal of Statistics, first-round revision submitted.

1The author is a graduate student under my supervision. Zhang, X., Mai, Q. and Zou, H. (2018). The Maximum Separation Sub- space in Sufficient Dimension Reduction with Categorical Response. Jour- nal of Machine Learning Research, submitted.

Mai, Q. , Yang, Y. and Zou, H. (2017). Multiclass Sparse Discriminant Analysis. Statistica Sinica, in press.

Mai, Q. and Zou, H. (2015). The fused Kolmogorov filter: a nonparametric model-free screening method. Annals of Statistics, 43, 1471–1497.

Mai, Q. and Zou, H. (2015). Semiparametric sparse discriminant analysis. Journal of Multivariate Analysis, 135, 175–188.

Mai, Q. and Zou, H. (2015). Nonparametric variable transformation in sufficient dimension reduction. Technometrics, 57, 1–10.

Mai, Q. (2013). A review of discriminant analysis in high dimensions. Wiley Interdisciplinary Reviews: Computational Statistics, 5, 190–197.

Mai, Q., and Zou, H. (2013). On the equivalence of some sparse linear discriminant methods. Technometrics. 55, 243–246.

Mai, Q., and Zou, H. (2013). The Kolmogorov filter for variable screening in high-dimensional binary classification. Biometrika. 100, 229–234.

Mai, Q., Zou, H. and Yuan, M. (2012). A direct approach to sparse discriminant analysis in ultra-high dimensions. Biometrika, 99, 29–42.

Doctoral Ma, W., doctoral candidate. Committee Co-chair Pan, Y., doctoral candidate.

Doctoral Jiang, H., graduate. (2015). The studies of joint structure sparsity pursuit Committee in the applications of hierarchical variable selection and fused lasso. Member Liu, S., graduate. (2018). Generalized Mahalanobis Depth in Point Pro- cess and its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics.

Liu, Y., doctoral candidate.

Kunz, R., doctoral candidate.

Professional Reviewer for grant applications: Services National Science Foundation, 2018, panelist.

National Security Agency, 2013 & 2014, ad hoc reviewer.

Conferences

Invited session organizer and chair, SLDS 2018: 4th International Sym- posium on Statistical Learning and Data Science, New York, NY, 2018.

Invited session organizer and chair, IMS China, Guangxi, China, June 2017.

Invited session organizer and chair, Joint Statistical Meetings, Boston, MA, August 2014.

Workshop committee, Large Scale Statistical Inference and Learning, Min- neapolis, MN, April 2012.

Reviewer for refereed journals:

Annals of Statistics, Biometrika, Journal of American Statistical Associ- ation, Journal of Royal Statistical Society: Series B, Annals of Applied Statistics, Journal of Computational and Graphical Statistics, Statistics in Medicine, The American Statistician, The Journal of Statistical Planning and Inference, Computational Statistics and Data Analysis, Probability and Statistics Letters.

Talks and Invited talk, 2018 International Symposium on Financial Engineering, Conferences 2018, Shanghai, China, June 2018.

Invited talk, Conference on Statistical Learning and Data Science / Non- parametric Statistics, 2018, New York, June 2018.

Invited talk, the 9th International Conference of the ERCIM WG on Com- putational and Methodological Statistics, London, United Kingdom, De- cember 2017.

Invited talk, IMS China 2017, Guangxi, China, June 2017.

Invited talk, the 9th International Conference of the ERCIM WG on Com- putational and Methodological Statistics, Seville, Spain, December 2016.

Invited talk, ICSA Conference on Data Science, Dali, Yunnan, China, July 2016. Invited talk, Conference on Statistical Learning and Data Science, Chapel Hill, North Carolina, June 2016.

Invited talk, 2016 ICSA Applied Statistics Symposium, Atlanta, GA, June 2016.

Invited talk, IASC-ARS 2015, Singapore, December 2015.

Invited talk, New Researchers Conference on High-Dimensional Statistics in the Age of Big Data, Beijing, China, June 2015.

Invited talk, Joint 24th ICSA Applied Statistics Symposium and 13th Graybill Conference, Fort Collins, CO, June 2015.

Invited talk, 45th Symposium on the Interface, Computing Science and Statistics, Morgantown, WV, June 2015.

Invited talk, ICSA-KISS Joint Applied Statistics Symposium, Portland, OR, June 2014.

Invited talk, ENAR 2014, Baltimore, March 2014.

Invited talk, department colloquium, University of Florida, Gainesville, October 2013.

Invited talk, department colloquium, Pennsylvania State University, Uni- versity Park, September 2013.

Invited talk, department colloquium, University of North Carolina-Chapel Hill, Chapel Hill, January 2013.

Invited talk, department colloquium, Florida State University, Tallahas- see, January 2013.

Invited talk, Conference on Statistical Learning and Data Mining, Ann Arbor, MI, June 2012.

Department Member, Graduate admission committee (2016–2017). committee Member, Statistical data science program committee (2015–2016).

Member, Students exams and awards committee (2015–2016).

Chair, Colloquium Committee (2014-2015). Member, Graduate admission Committee (2013–2014).

Consulting Department of Agronomy and Plant Genetics, University of Minnesota, summer 2010.