Ye Bi 毕晔

Deep LearningComputer VisionGeneticsData Science


I am a Ph.D. candidate from Dr. Gota Morota ‘s group in the School of Animal Sciences at Virginia Polytechnic Institute and State University.

My research interests focus on incorporating artificial intelligence, computer vision, statistics, phenomics, and genetics to study animal and plant sciences.

Actively seeking academic postdoc and industry position in precision livestock farming, quantitative genetics, computer vision, and/or data science. Please contact me if you have an opportunity.

Research Topics

        ✓ Precision Livestock Farming 🐷🐽🐄🐖
        ✓ Quantitative Genetics for animals 🐄🐂
        ✓ Quantitative Genetics for plants 🌿🌾

Recent News
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Feb 22, 2024 [Summer Intern]. Excited to announce that I'll be starting on my summer internship with the Precision Animal Health group at [Zoetis] 🎉🎉🎉🎉🎉 Looking forward to the journey ahead! DA1
Feb 1, 2024 [New Preprint!] Idan Sabag, Ye Bi, Maitreya Mohan sahoo, Ittai Herrmann, Gota Morota, and Zvi Peleg. Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame. bioRxiv. doi: 10.1101/2024.02.01.578346

Jan 11, 2024 [New paper accepted!] Kenan Burak Aydin, Ye Bi, Luiz F. Brito, Zafer Uluta¸s, and Gota Morota. Review of sheep breeding and genetic research in Turkiye. Frontiers in Genetics. doi: 10.3389/fgene.2024.1308113.

Nov 30, 2023 [Graduate Certificate in Data Analytics] I got the Graduate Certificate in Data Analytics! [URL]. Completed 15 credits related to advanced data science courses from the Departments of Computer Science, Electrical and Computer Engineering, and Statistics.


Selected Publications
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Check out Google Scholar for a full list of my publications.

  1. Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
    Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, and Gota Morota
    Smart Agricultural Technology 2023
  2. Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice
    Ye Bi, Rafael Massahiro Yassue, Puneet Paul, Balpreet Kaur Dhatt, Jaspreet Sandhu, Thi Phuc Do, Harkamal Walia, Toshihiro Obata, and Gota Morota
    G3: Genes, Genomes, Genetics 2023