Haipeng Yu

Dr. Haipeng Yu is an Assistant Professor in the Department of Animal Sciences at the University of Florida, specializing in Artificial Intelligence applied to Animal Omics Sciences. His research focuses on integrating multi-omics data with machine learning and statistical methods to address agricultural challenges. He leads the Artificial Intelligence in Animal Omics Sciences Lab, developing tools like ShinyAnimalCV and AnimalMotionViz for advanced phenotyping and behavior analysis.

Dr. Yu’s expertise includes quantitative genetics, genomic prediction, and high-throughput phenotyping. His work emphasizes solving practical problems in livestock production, such as improving dairy cow health, predicting cattle behavior, and optimizing breeding programs. He has contributed to open-source software solutions and cloud-based applications for animal visualization and data analysis.

Research highlights include methodologies for genomic connectedness analysis, machine learning model validation, and multi-trait phenotypic modeling. His interdisciplinary approach bridges computer science, statistics, and biology to advance precision agriculture and animal science.