Summary
Haipeng Yu is an Assistant Professor at the University of Florida with nine years of experience applying statistical modeling, machine learning, and computational methods to integrate high-dimensional heterogeneous -omics data for agricultural improvement. Trained in quantitative genetics (PhD, Virginia Tech) and with research positions across multiple land-grant universities and industry (Inari), he bridges fundamental genetics, predictive breeding, and practical computational breeding pipelines. His work focuses on translating complex multi-omics signals into actionable insights for crop and livestock improvement, combining rigorous statistical frameworks with scalable ML approaches. Based in Gainesville, he brings a track record of interdisciplinary collaboration and an emphasis on methods that make high-dimensional biological data usable for breeders and agronomists.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Quantitative Genetics, Doctor of Philosophy - PhD, Quantitative Genetics at Virginia Tech
Quantitative Genetics, Quantitative Genetics at University of Nebraska-Lincoln
Master of Science - MS, Animal Breeding and Genetics, Master of Science - MS, Animal Breeding and Genetics at North Dakota State University