Di Liang, Ph.D., is a Principal Scientist at Zoetis since September 2018, specializing in Big-Data analysis for Precision Animal Health, focusing on insights that drive market penetration and sales support. Liang has led the development of cloud-based farm management models, farm data integration, and automated data analysis workflows while providing technical support to customers and presenting findings at various conferences. Previously, Liang served as a Research Associate at the University of Wisconsin-Madison, contributing to the Dairy Virtual Brain project, and held roles as a graduate research assistant at both the University of Kentucky and China Agricultural University. Liang holds a Ph.D. in Dairy Science from the University of Wisconsin-Madison, a master's degree in Dairy System Management from the University of Kentucky, and a bachelor's degree in Animal Sciences from China Agricultural University.
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