Happy to be among friends from the Animal Sciences Department faculty at the American Society of Animal Science Annual Meeting in Hollywood, Fl.
Dr. Scott Angle welcomed everyone at the opening ceremony! #ASASAnnual25#AnimalScience#GoGators 🐊
🎉 Happy to share our new preprint: Impact of trait measurement error on quantitative genetic analysis of computer vision derived traits 🐷🧬
Thanks to my PhD advisor and collaborators. @gotamorota@yijianhuang@HaipengU
Read the full preprint here: https://t.co/fLeGyK2xj2
I am delighted to share our new preprint on bioRxiv!😆🙌 We evaluated the impact of different cross-validation designs on cattle behavior prediction and compared the prediction performance of machine learning and deep learning models. https://t.co/AeHt5eMURO
Excited to share our new preprint on bioRxiv! We developed AnimalMotionViz, an interactive computer vision tool to track and visualize animal motion patterns to enhance management practices and pen designs. 🐄 Check it out!
https://t.co/42XsvDJj4F
Have you HERD? The Summer 2024 volume of our newsletter is live!
Follow the link below to read about our student's summer internships, incredible faculty members, exciting events, and more!🐊
https://t.co/PzJz6yncO2
Excited to share our paper proving the validity of the linear regression (LR) method for evaluating population accuracy of predictions based on conditional means. We also investigated the ability of two LR statistics to assess model adequacy. https://t.co/jl6FyNomvb
My first first-author paper is out in the Journal of Animal Science.🎉 We developed an open-source computer vision web application for animal detection, segmentation, and 3D visualization.😄 https://t.co/dXVhgV8TRk
Our open-source online computer vision web application, ShinyAnimalCV, led by @JinWangAI is on arXiv (https://t.co/Q11lkAA5VH)! ShinyAnimalCV is designed for performing computer vision tasks using animal image data.
Our new preprint "Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms" is now available online! 🐮📸📽️
https://t.co/XOVcaQdV7K
Hey😀, we published our newest paper in Frontiers in Genetics. Check out! I want to thank Professors @HaipengU and @gotamorota for the training, insights, and support. Multi-omic data integration for the study of production... https://t.co/zYyMTw8cj5
Our paper validating the linear regression method for evaluating population accuracy and bias of predictions for non-linear models is up on bioRxiv (https://t.co/AbD2vLAIvF)!
Delighted to announce that I'll join @uf_ansci as an Assistant Professor in Artificial Intelligence in Animal Omics Sciences in August 2022. Thank you to my family and mentors, Jack Dekkers, Rohan Fernando, Lauren Hanna, @gotamorota, for their tremendous and constant support.
It is finally official.📢 I have been promoted to Associate Professor with tenure! Thank you to all of my students and postdocs for their incredible work as part of our team and also to my fantastic collaborators and great mentors!