Ye Bi 毕晔

Deep Learning ⎟ Computer Vision ⎟ Genetics ⎟ Data Science

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I am a Postdoctoral Research Associate from Dr. Juan Pedro Steibel’s group in the Department of Animal Science at Iowa State University.

I earned my Ph.D. under the mentorship of Dr. Gota Morota in the School of Animal Science 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.

Happy Fall! 🌷🌸🌿🌞🐦🌼🌻🐝🦋.
Feel free to contact me via yebi@iastate.edu 📩
My Google Scholar profile will be updated herehere

Research Topics

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

Recent News
(See All)

Aug 2, 2026 [New Paper Accepted] Wolc, Anna, Usamah Kabuye, Tricia Veldhuizen, Jaedyn Condon, Ye Bi, and Kaylee Rowland. "Cell Phone Image Analysis as a Proxy for Laboratory Egg Quality Measurements." Poultry Science (2026): 107470. doi:doi.org/10.1016/j.psj.2026.107470 isu_ans
Jul 12, 2026 [WCGALP] Happy to have joined #WCGALP for the first time last week in Madison, Wisconsin! I had the opportunity to present our recent research on animal tracking and novel behavior phenotyping using zero-shot learning and foundation models. It was a great experience to share our work and receive valuable feedback from the community. pag32
Apr 24, 2026 [New paper accepted! Last paper from my PhD journey] 🎨👩🏻‍💻🎓 Ye Bi, Yijian Huang, Haipeng Yu, and Gota Morota. "Impact of Trait Measurement Error on Quantitative Genetic Analysis of Computer Vision-Derived Traits." Genes 17, no. 5 (2026): 506. doi:10.3390/genes17050506.


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Apr 3, 2026 [New Preprint] The first project I lead as a postdoc in Dr. Steibel's group in ISU! Big milestone!🐷🐖📸📽️ Ye Bi, Bimala Acharya, David Rosero, and Juan Steibel. "Automated Segmentation and Tracking of Group Housed Pigs Using Foundation Models." arXiv preprint arXiv:2604.03426 (2026). doi:10.48550/arXiv.2604.03426


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

  1. Paper
    Cell Phone Image Analysis as a Proxy for Laboratory Egg Quality Measurements
    Anna Wolc, Usamah Kabuye, Tricia Veldhuizen, Jaedyn Condon, Ye Bi, and Kaylee Rowland
    Poultry Science 2026
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  2. Paper
    Impact of Trait Measurement Error on Quantitative Genetic Analysis of Computer Vision-Derived Traits
    Ye Bi, Yijian Huang, Haipeng Yu, and Gota Morota
    Genes 2026
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  3. Preprint
    Automated Segmentation and Tracking of Group Housed Pigs Using Foundation Models
    Ye Bi, Bimala Acharya, David Rosero, and Juan Steibel
    arXiv preprint arXiv:2604.03426 2026
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  4. Paper
    Industry-scale prediction of video-derived pig body weight using efficient convolutional neural networks and vision transformers
    Ye Bi, Yijian Huang, Jianhua Xuan, and Gota Morota
    Biosystems Engineering 2025
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  5. Paper
    PredictingDairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
    Mingsi Liao, Gota Morota, Ye Bi, and Rebecca R Cockrum
    Animals 2025
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  6. Dissertation
    Digital Phenotyping and Genomic Prediction Using Machine and Deep Learning in Animals and Plants
    Ye Bi
    2024
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  7. Paper
    Genomic prediction of metabolic content in rice grain in response to warmer night conditions
    Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota
    Crop Science 2025
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  8. Paper
    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
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  9. Paper
    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
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