Welcome!

We are the Artificial Intelligence in Animal Omics Sciences (AIAOS) lab in Department of Animal Sciences at the University of Florida. Our primary research interest focuses on integrating high-dimensional heterogeneous -omics data to advance animal agriculture. One of our research topics is accommodating multi-omics data using machine learning, statistical modeling, and computational methods for genetic improvement in animals. Intrigued by precision livestock farming, we are also interested in applying computer vision to acquire high-throughput animal phenomics data (e.g., real-time activity) and using machine learning to incorporate the high-dimensional sensor data into our research.

News

10/22/2024
Our new preprint, led by Angelo, which introduces an interactive computer vision tool for tracking and visualizing animal motion patterns, is now on bioRxiv! Congratulations, Angelo!
09/10/2024
Our lab's research has been highlighted in the ANS department newsletter (pages 12-13).
08/13/2024
Welcome Angelo De Castro to our lab! Angelo is a new PhD student with a focus on precision livestock farming.
08/05/2024
Lucas Basolli Borsatto joined our lab as a visiting student. Welcome to the lab, Lucas!
07/25/2024
Yuxi Zhang joined our lab as a master's student in quantitative genetics. Welcome, Yuxi!
05/31/2024
Our paper Use of the linear regression method to evaluate population accuracy of predictions from non-linear models is now published!
04/22/2024
Dr. Rohan Fernando visited our lab and gave an invited talk at the IFAS AI and Data Science Seminar.
03/02/2024
Jin's first PhD paper Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision has been published in the Journal of Animal Science. Congrats!
01/14/2024
Haipeng gave an invited talk in the Gene Mapping by Segregation session at the PAG 31 meeting.
11/27/2023
Yuechen joined our lab as a research intern. Welcome!

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