• 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, 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)

University of Nebraska Lincoln

• STAT 802 Design and Analysis of Research Studies (Fall 2017) 
• STAT 841 Statistical Methods for High-throughput Biological Data (Fall 2018)
• STAT 883 Mathematical Statistics II - Statistical Inference (Spring 2018) 
• STAT 980 Advanced Probability Theory 1 (Fall 2016)
• STAT 981 Statistical Learning (Spring 2019)
• STAT 982 Advanced Inference (Spring 2017)
• LIFE 891-002 Special Topics in Life Sciences (2-3 weeks in each Spring Semester of 2017, 2018, 2019)

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

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

Have received 2372 citations in Google Scholar and have published 70 journal articles and 2 book chapters.

Selected Publications:

1. 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).
2. 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).
3. 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). 
4. 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).
5. Z Xu, 2023, Logistics regression based on individual-level predictors and aggregate-level responses, Mathematics, 11, 276. Impact Factor: 2.592 (R).
6. 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).
7. 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)
8. 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).
9. 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).
10. 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).
11. 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).
12. 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.
13. S Khan, N Ahamad, S Bhadra, Z Xu, YJ Xu, 2022, Smc5/6 complex promotes Rad3^ATR 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.
14. 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).
15. 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).
16. 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).
17. 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.
18. 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).
19. 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).
20. 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).
21. 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).
22. 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). 
23. 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).
24. 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
25. 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).
26. 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).
27. 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
28. 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).
29. 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)
30. 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).
31. 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
32. Z Xu, 2016, An alternative circular smoothing method to nonparametric estimation of periodic functions, Journal of Applied Statistics, 43, 1649-1672. 
33. 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
34. 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.
35. 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
36. 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.
37. 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
38. 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
39. 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
40. 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. 
41. SX Chen, Z Xu, 2014, On implied volatility for options – Some reasons to smile and more to correct, Journal of Econometrics, 179, 1-15.
42. 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
43. SX Chen, Z Xu, 2013, On smoothing estimation for seasonal time series with long cycles, Statistics and Its Interface, 6, 435-447. 
44. 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
45. 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:

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

Editorial Services:

1. 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)
2. Academic Editor for Plos One (2021-now)
3. Reviewer for Journal of Business and Economic Statistics, Statistical Sinica, Biometrics, Bioinformatics, Scientific Reports, BMC Genomics, etc.