• Postdoc. University of North Carolina at Chapel Hill, Bio-statistics and Genetics, Chapel Hill, NC. 
• Ph.D. Iowa State University, Statistics and Economics, Ames, IA. 
• M.Sc. Illinois State University, Applied Economics, Normal, IL
• B.Econ. Fudan University, International Economics with the minor in Computer Science, Shanghai, China

Wright State University

• STT 1600, Statistical Concepts (Fall 2024)
• STT 4110/6110 Applied Time Series (Spring 2020, Spring 2021, Fall 2024)
• STT 4300/6300 Biostatistics  (Fall 2020)
• STT 4640/6640 Machine Learning (Fall 2020)
• STT 4660/6660 Statistical Methods I (Fall 2021, Fall 2022)
• STT 4670/6670 Statistical Methods II (Spring 2022, Spring 2023, Spring 2024)
• STT 7020 Applied Stochastic Process (Spring 2020, Spring 2022)
• STT 7140 Statistical Modelling for Environmental Data (Spring 2021, Spring 2024)
• STT 7400 Categorical Data Analysis (Fall 2022, Fall 2024)
• STT 7440 Applied Multivariate Analysis (Fall 2019, Fall 2021)
• STT 7670 Applied Regression Analysis (Spring 2023)

Google Scholar: https://scholar.google.com/citations?user=OzNHuxcAAAAJ&hl=en

Personal Website: https://sites.google.com/site/zhengxuzxzx

Have received 2302 citations in Google Scholar and have published 69 journal articles and 2 book chapters (Updated on December 7, 2024).

Recent News Announcements:

• Dec 2024. The paper "An expectation-maximization algorithm for logistics regression based on individual-level predictors and aggregate-level  response" was accepted in Statistics in Transition New Series and scheduled to be published in the issue of March 2025. It is a single-author paper. The journal is an international journal of the Polish Statistical Association and Statistics Poland. 

Selected Publications:

• Z Xu, 2025, An expectation-maximization algorithm for logistics regression based on individual-level predictors and aggregate-level  response", forthcoming in Statistics in Transition New Series. (R).
• Z Xu, S Yan, C Wu, Q Duan, S Chen, Y Li, 2023, Next-generation sequencing data-based association testing of a group of genetic markers for complex responses using a generalized linear model framework, Mathematics, 11, 2560. Impact Factor: 2.592. (R).
• Z Xu, S Yan, S Yuan, C Wu, S Chen, Z Guo, Y Li, 2023, Efficient two-stage analysis for complex trait association with arbitrary depth sequencing data, Stats, 6, 468-481. Impact Factor: 0.9. (R).
• Z Xu, 2023, Logistics regression based on individual-level predictors and aggregate-level responses, Mathematics, 11, 276. Impact Factor: 2.592 (R).
• S Chen, AM Woodruff, J Campbell, S Vesely, Z Xu, C Snider, 2023, Combining probability and nonprobability samples by using multivariate mass imputation approaches with application to biomedical research, Stats, 6, 617–625. Impact Factor: 1.3. (R).
• Z Xu, 2023, Association testing of a group of genetic markers based on next generation sequencing data and continuous response using a linear model framework. Mathematics, 11, 1285. Impact Factor: 0.9. (R).
• H Zhao, Y Zhan, Z Xu, JJ Nduwamungu, Y Zhou, R Powers, C Xu, 2022, The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration, Food Chemistry, 373, Part B, 2022, 131471. Impact Factor: 7.514. (R).
• H Dai, L Henriksen, Z Xu, N Rathnayake, 2022, Using place-based characteristics to inform FDA tobacco sales inspections: results from a multilevel propensity score model, Tobacco Control 2022:31:e148-e155. Impact Factor: 6.726.
• Q Zhang, Z Xu, Y Lai, 2021, An empirical Bayes approach for the identification of long-range chromosomal interaction from Hi-C data, Statistical Applications in Genetics and Molecular Biology, 20, 1-15. Impact Factor: 0.778. (R).
• T Wang, Z Xu, D Kolady, JD Ulrich-Schad, D Clay, 2021, Cover crops usage in south Dakota: farmer perceived profitability and future adoption decisions. Journal of Agricultural and Resource Economics 46, 2, 287-30. Impact Factor: 1.184. (R).
• Z Xu, W Cu, 2020, Machine learning and statistical approaches for plant phenotyping, Intelligent Image Analysis for Plant Phenotyping, 1st edition, edited by A Samal and SD Choudury, CRC Press. ISBN: 9781315177304. (R).
• X Dai, Z Xu, Z Liang, X Tu, S Zhong, J Schnable, P Li, 2020, Non-homology-based prediction of gene functions in maize (Zea mays ssp. mays), Plant Genome, 13, e20015. Impact Factor: 3.847. (R).
• C Miao, A Pages, Z Xu, E Rodene, J Yang, J Schnable, 2020, Semantic segmentation of sorghum organs using hyperspectral data identifies genetic associations, Plant Phenomics, 2020, 4216373. Impact Factor: 6.961. (R).
• H Dogan, J Shu, Z Hakguder, Z Xu, J Cui, 2020, Elucidation of molecular links between obesity and cancer through microRNA regulation, BMC Medical Genomics, 13, 161 (2020). Impact Factor: 2.57. (R).
• Q Duan, Z Xu, L Raffield, S Chang, D Wu, EM Lange, AP Reiner and Y Li, 2018, A robust and powerful two-step testing procedure for local ancestry adjusted allelic association analysis in admixed populations, Genetic Epidemiology, 42, 288-302. Impact Factor: 1.954
• Z Xu, C Valdes, J Clarke, 2018, Existing and potential statistical and computational approaches for the analysis of 3D CT images of plant roots, Agronomy, 8, 71. (R).
• WE Huffman, Y Jin and Z Xu, 2018, The economic impacts of technology and climate change: new evidence unearthed from crop yields, Agricultural Economics, 49, 463-479. Impact Factor: 2.263
• J Martin, Z Xu, AP Reiner, KL Mohlke, P Sullivan, B Ren, M Hu and Y Li, 2017, HUGIn: Hi-C Unifying Genomic Interrogator. Bioinformatics, 33, 3793-3795. Impact Factor: 5.61
• Z Xu, 2016, An alternative circular smoothing method to nonparametric estimation of periodic functions, Journal of Applied Statistics, 43, 1649-1672. 
• Z Xu, G Zhang, C Wu, M Hu, Y Li, 2016, Fast-HiC: a fast and accurate algorithm to detect long-range chromosomal interactions from Hi-C data, Bioinformatics, 32, 2692-2695.
• AD Schmitt, M Hu, I Jung, Z Xu, Y Qiu, CL Tan, Y Li, CL Barr and B Ren, 2016, A compendium of chromatin contract maps reveal frequently interacting regions in the human genome, Cell Reports, 17, 2042-2059.  Impact Factor: 8.109
• C Wu, Z Xu, R Gai and K Huang, 2016, Matrine ameliorates spontaneously developed colitis in Interleukin-10-deficient mice, International Immunopharmacology, 36, 256-262. Impact Factor: 3.943
• Z Xu, G Zhang, F Jin, M Chen, TS Furey, PF Sullivan, Z Qin, M Hu, Y Li, 2015, A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data, Bioinformatics, 32, 650-656. Impact Factor: 5.61
• Z Xu, Q Duan, SYan, W Chen, M Li, E Lange, Y Li, 2015, DISSCO: Direct imputation of summary statistics allowing covariates, Bioinformatics, 31, 2434-2442. 
• SX Chen, Z Xu, 2014, On implied volatility for options – Some reasons to smile and more to correct, Journal of Econometrics, 179, 1-15.
• J Kang, KC Huang, Z Xu, Y Wang, GR Abecasis and Y Li, 2013, AbCD: Arbitrary coverage design for sequencing-based genetic studies, Bioinformatics, 29, 799-801. Impact Factor: 5.61
• SX Chen, Z Xu, 2013, On smoothing estimation for seasonal time series with long cycles, Statistics and Its Interface, 6, 435-447. 
• Z Xu, DA Hennessy, K Sardana and G Moschini, 2013, The realized yield effect of genetically engineered crops: U.S. maize and soybean, Crop Science, 53, 735-745. Impact Factor: 1.878
• Z Xu, 2013, Estimation of parametric homogeneous stochastic volatility pricing formulae based on option data, Economics Letters, 120, 369-373.  

Selected Manuscripts Under Consideration By Journals:

• Z Xu, Estimation of individual-level logistics models based on aggregate-level data, in revision. 
• Z Xu, Ordinal logistics regression based on individual-level predictors and aggregate-level response. 
• Deep survival analysis on cancer study using multiple types of bioinformatic data. 
• Z Xu, Estimation of individual-level Poisson models based on aggregate-level data. 

Editorial Services:

• Associate Editor for Statistical Papers (2016-now), Statistical Analysis and Data Mining (2018-now), Journal of Statistical Computation and Simulation (2022-now), BioMed Central (BMC) Research Notes (2017-now)
• Academic Editor for Plos One (2021-now)
• Reviewer for Journal of Business and Economic Statistics, Statistical Sinica, Biometrics, Bioinformatics, Scientific Reports, BMC Genomics, etc.