Xiao-Lin (Nick) Wu, Ph.D.

Product Development Manager

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Xiao-Lin (Nick) Wu is product development manager at CDCB, with primary role to evaluate existing tools and develop new statistical methods and products beneficial to U.S. dairy. He holds an adjunct faculty position as associate professor in animal science at University of Wisconsin-Madison (UWM). Previously, Dr. Wu was computational scientist at UWM, a principal scientist at Bayer CropScience, and director of Bioinformatics and Biostatistics at Neogen GeneSeek. He has advanced education in China and Denmark and research experience in China, South Korea, and the U.S. His post-doc experiences were at multiple universities, including Iowa State, Washington State, University of Idaho, and UWM. Dr. Wu has published over 120 peer-reviewed papers and 5 books and book chapters. His research in the past 20 years has covered several major fields in molecular genetics, quantitative genetics and genomics, and bioinformatics.

Projects & Publications

Statistical Methods Revisited for Estimating Daily Milk Yields: How Well do They Work?

Cost-effective milking plans have been adapted to supplement the standard supervised twice-daily monthly testing scheme since the 1960s.

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An alternative interpretation of residual feed intake by phenotypic recursive relationships in dairy cattle

Journal of Dairy Science, 2021

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A Causality Perspective of Genomic Breed Composition for Composite Animals

Frontiers in Genetics, 2020

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Genomic mating as sustainable breeding for Chinese indigenous Ningxiang pigs

PLoS One, 2020

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Estimation of Genomic Breed Composition for Purebred and Crossbred Animals Using Sparsely Regularized Admixture Models

Frontiers in Genetics, 2020

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Genome‐wide association study of milk production traits in a crossbred dairy sheep population using three statistical models

Animal Genetics, 2020

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Estimation of genomic breed composition of individual animals in composite beef cattle: Genomic breed composition of composite beef cattle

Animal Genetics, 2020

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A unified local objective function for optimally selecting SNPs on arrays for agricultural genomics applications

Animal Genetics, 2020

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