Associate Professor
Departments of Mathematics and Statistics
Wright State University
Dayton, OH, USA
Email: zheng.xu.isu@gmail.com
Wright State Profile: https://people.wright.edu/zheng.xu
Google Scholar: https://scholar.google.com/citations?user=OzNHuxcAAAAJ&hl=en
Github Profile: https://github.com/zhengxu0459
Github Website: https://zhengxu0459.github.io/
Postdoc. University of North Carolina at Chapel Hill, Bio-statistics and Genetics, Chapel Hill, NC, 2012-2016. Adviser: Prof. Yun Li
Ph.D. Iowa State University, Statistics and Economics, Ames, IA, 2012. Advisers: Prof. Song Xi Chen and Prof. David Hennessy
M.Sc. Illinois State University, Applied Economics, Normal, IL, 2005.
B.Econ. Fudan University, International Economics with the Minor in Computer Science, Shanghai, China, 2001.
Associate Professor, Department of Mathematics and Statistics, Wright State University, Dayton, OH, 2025-now
Assistant Professor, Department of Mathematics and Statistics, Wright State University, Dayton, OH, 2019-2025
Research Assistant Professor, Department of Statistics, University of Nebraska-Lincoln, Lincoln, Nebraska, 2016-2019
Postdoctoral Research Associate , Departments of Biostatistics and Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 2012-2016
Risk Analyst Intern, Noble Americas Company, Stamford, CT, 2011
Teaching Assistant and Research Assistant, Department of Statistics, Iowa State University, Ames, IA 2009-2012
Teaching Assistant, Department of Economics, Iowa State University, Ames, IA 2005-2009
Graduate Assistant, Department of Economics, Illinois State University, IL 2003-2005
Biostatistics, Statistical Genetics, Genetic Epidemiology, Bioinformatics, Genome Structure
Machine Learning, Prediction, Nonparametric Methods, Time Series, Stochastic Process
Agricultural Statistics, Econometrics, Financial Statistics, Image Analysis
Wright State University
STT 1600, Statistical Concepts (Fall 2024, Fall 2025) ; STT 3700 Introduction to Statistical Inference (Fall 2025)
STT 4110/6110 Applied Time Series (Spring 2020, Spring 2021, Fall 2024)
STT 4260/6260 Survival Analysis (Fall 2025); STT 4300/6300 Biostatistics (Fall 2020)
STT 4640/6640 Machine Learning (Fall 2020, Spring 2025); 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, Spring 2025); STT 7910 Statistical Consulting (Spring 2025)
STAT 981 Statistical Learning (Spring 2019)
STAT 841 Statistical Methods for High-throughput Biological Data (Fall 2018)
STAT 883 Mathematical Statistics II - Statistical Inference (Spring 2018)
STAT 802 Design and Analysis of Research Studies (Fall 2017)
STAT 982 Advanced Inference (Spring 2017)
STAT 980 Advanced Probability Theory 1 (Fall 2016)
LIFE 891-002 Special Topics in Life Sciences (2-3 weeks in each Spring Semester of 2017, 2018, 2019)
A complete list of publications can be found in Google Scholar: https://scholar.google.com/citations?user=OzNHuxcAAAAJ&hl=en
Have received 2582 citations in Google Scholar and have published 70 journal articles and 2 book chapters.
List of 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).
C Yin, C Zhou, Y Ge, X Gao, C Wu, Z Xu, C Huang, G Hu, P Liu, C Yin, X Guo, Effects and potential mechanism of dietary vitamin C supplementation on hepatic lipid metabolism in growing laying hens under chronic heat stress, Journal of Animal Science, 2023, 101. (R).
Z Xu, 2023, Logistics regression based on individual-level predictors and aggregate-level responses, Mathematics, 11, 276. Impact Factor: 2.592 (R).
C Jiang, X Hou, X Gao, P Liu, X Guo, G Hu, Q Li, C Huang, G Li, W Fang, W Mai, C Wu, Z Xu, P Liu, 2023, The 16S rDNA high-throughput sequencing correlation analysis of milk and gut microbial communities in mastitis Holstein cows, BMC Microbiology 23. 180. Impact Factor: 4.31. (R).
Z Xu, C Wu, 2023, Combination of transfer deep learning and classical machine learning models for multi-view image analysis, Computer Sciences and Mathematics Forum, 2023, 1, 13. (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).
A Kochvar, Y Liu, M Mnunafo, Z Xu, H Dai, 2023, Genetic and environmental influences on early-age susceptibility and initiation of nicotine-containing product use: A twin-pairs study, Tobacco Prevention and Cessation, 9, 34. (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: 2.592. (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.
S Khan, N Ahamad, S Bhadra, Z Xu, YJ Xu, 2022, Smc5/6 complex promotes Rad3ATR checkpoint signaling at the perturbed replication fork through sumoylation of the RecQ helicase Rqh1. Mol. Cell. Biol. 42(6). Impact Factor: 3.2. This paper is featured on the journal cover.
C Wu, Z Xu, G Li, Z Zou, T Wang, 2022, The correlation between gut microbiota and bovine mastitis, Animal Health Perspectives, Unique Scientific Publishers. (R).
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).
T Wang, Y Fan, Z Xu, S Kumar, B Kasu, 2021, Adopting cover crops and buffer strips to reduce nonpoint source pollution: Understanding the farmers’ perspectives in the U.S. Northern Great Plains, Journal of Soil and Water Conservation. Impact Factor: 2.209.
L Huang, X Guo, P Liu, Y Zhao, C Wu, C Zhou, C Huang, G Li, Y Zhuang, S Cheng, H Cao, C Zhang, Z Xu, X Liu, G Hu, P Liu, 2021, Correlation between acute brain injury and brain metabonomics in dichlorvos-poisoned broilers, Journal of Hazardous Materials, 422, 2022, 126849. Impact Factor: 10.588. (R).
Z Xu, C Wu, 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).
J Reinhardt, JJ Romine, Z Xu, 2020, Factors contributing to student satisfaction with dental loupes and headlights, European Journal of Dental Education, 24, 266-271. Impact Factor: 1.05. (R).
L Lu, X Liu, WK Huang, P Giusti-Rodriguez, J Cui, S Zhang, W Xu, Z Wen, S Ma, JD Rosen, Z Xu, C Bartels, R Kawaguchi, M Hu, PC Scacheri, Z Rong, Y Li, PF Sullivan, H Song, G Minf, Y Li, ,F Jin, 2020, Robust Hi-C Maps of Enhancer-Promoter Interactions Reveal the Function of Non-coding Genome in Neural Development and Diseases, Molecular Cell, 79, 521-534. Impact Factor: 15.584
M Li, NK Wijewardane, Y Ge, Z Xu, MR Wilkins, 2020, Visible/near infrared spectroscopy and machine learning for predicting polyhydroxybutyrate production cultured on alkaline pretreated liquor from corn stover, Bioresource Technology Reports, 9, 100386. (R).
H Zhao, Y Zhan, Z Xu, JJ Nduwamungu, Y Zhou, C Xu, 2020, Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils, INFORM, 31 (4), 12-15. (R).
Q Duan, Z Xu, L Raffield, S Chang, D Wu, EM Lange, AP Reiner, 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, 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. (R)
Z Xu, Q Duan, J Cui, Y Qiu, Q Jia, C Wu, J Clarke, 2018, Analysis of genetic and non-genetic factors influencing triglycerides-lowering fenofibrate drug effects based on paired observations, BMC Proceedings, 12, 46. (R).
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.
G Zhang, KC Huang, Z Xu, JY Tzeng, KN Conneely, W Guan, J Kang and Y Li, 2016, Across-platform imputation of DNA methylation levels using penalized functional regression, Genetic Epidemiology, 40, 333-340. Impact Factor: 1.954
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
Z Xu, Q Duan, G Zhang, S Chai, B Zhang, C Wu, F Jin, F Yue, Y Li and M Hu, 2016, HiView: An integrative genome browser to leverage Hi-C results for the interpretation of GWAS data, BMC Research Notes, 9, 159.
C Wu, Z Xu, R Gai, 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
S Yan, S Yuan, Z Xu, B Zhang, B Zhang, G Kang, A Byrnes and Y Li, 2015, Likelihood based complex trait association testing for arbitrary depth sequencing data, Bioinformatics, 31, 2955-2962. 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.
Associate Editor (2016-) for Statistical Papers
Associate Editor (2022-) for Journal of Statistical Computation and Simulation
Guest Associate Editor (2017-2018) and Associate Editor (2018-) for Statistical Analysis and Data Mining
Academic Editor (2021-) for PLOS ONE
Associate Editor (2017-) for Bio-Med Central (BMC) Research Notes
Reviewer for Journals: Statistical Sinica; Biometrics; Journal of Business and Economics Statistics; Bioinformatics; Journal of Applied Statistics; Human Genetics; Gene; PLOS One; Scientific Reports; BMC Health Services Research; Public Health Nutrition; Journal of Financial Economic Policy; China Health Review; Journal of Finance and Economics; Frontiers in Public Health, section Epidemiology; Journal of Finance and Accounting; Journal of Agricultural Science and Technology; etc.
Reviewer for Conference: Genetic Analysis Workshop (GAW) 20
Detect chromatin interaction from multiple Hi-C datasets by hierarchical hidden Markov random field model (Paper Presentation), International Chinese Statistical Association Applied Statistics Symposium 2016
Rare variant test based on next-generation sequencing data with arbitrary length (Paper Presentation), Joint Statistical Meetings 2016
A hidden Markov random field based Bayesian method for the detection of long-range chromosomal interactions in Hi-C Data (Poster), American Society of Human Genetics 2015
Comparison of alignment strategies for allelic expression imbalance (Poster), American Society of Human Genetics 2015
Development of statistical methods and bioinformatics tools for genome-wide chromosome interaction data (Poster), Second Annual Research Symposium 2015
Alternative peak calling methods on Hi-C data accommodating the whole spectrum of dispersion (Poster), American Society of Human Genetics 2014
A HMRF-based Bayesian method for chromatin interaction calling (Paper Presentation), Joint Statistical Meetings 2014
Econometric estimates of the contribution of genetic modification to yield potential and damage control: evidence from state average corn yields (Paper Presentation), Symposium and Festschrift in Honor of Wallace Huffman
Some reasons to smile: implied volatilities in presence of pricing error (Paper Presentation), Joint Statistical Meetings 2010
Have biotech seeds increased maize yields (Poster), Agricultural and Applied Economic Association Meeting 2010
Engineering programing by JAVA, C/C#/C++, PYTHON, MATLAB, Mathematica and Perl.
Statistical and econometric programing by R, SAS, GAUSS, STATA and TSP.
Bloomberg interface, Logical Information Machine, XML, SQL, ArcGIS and Excel VBA.
Website programing by HTML, PHP and JavaScript.
Rich experience in handling large data and Linux server.
Oracle Certified Professional JAVA SE Programmer (OCPJP) Certification (96% in JAVA 6).
Certified Financial Analyst (CFA) Exam 1.
Associate of the Society of Actuaries (ASA) All Required Exams: (i) Probability, (ii) Financial Mathematics, (iii) Models for Life Contingencies, (iv) Construction and Evaluation of Actuarial Models and (v) Models for Financial Economics.
T.A. Bancroft Award, Department of Statistics, Iowa State University, 2010.
People’s Scholarship, Fudan University, 1998.