Ye Bi 毕晔

Deep Learning ⎟ Computer Vision ⎟ Genetics ⎟ Data Science

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I am a Postdoctoral Research Associate from Dr. Juan 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.

Excited to collaborate on research in precision livestock farming, quantitative genetics, AI, machine learning, and computer vision. Eager to contribute to innovative projects — reach out for potential collaboration!

Research Topics

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

Recent News
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Jan 10, 2025 [Oral presentation] Excited to join PAG32 in San Diego this week! Honored to present a short talk on our recent research as an Early Career Speaker in the Genomic Selection and Genome-Wide Association Studies session.🥳 I really appreciate this opportunity to share our work and connect with fellow researchers!🎉 pag32
Jan 1, 2025 I’m happy to share that I’m starting a new position as Postdoctoral Research Associate at Iowa State University! 🔥🔥 isu_ans
Nov 20, 2024 [New Paper Accept] Ye Bi, Harkamal Walia, Toshihiro Obata, and Gota Morota. Genomic prediction of metabolic content in rice grain in response to warmer night conditions. Crop Science, 65(1), p.e21435. doi:10.1002/csc2.21435.


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Sep 18, 2024 I’m excited to share that I’ve successfully defended my Ph.D. dissertation, “Digital phenotyping and genomic prediction using machine and deep learning in animals and plants.” Grateful for all the support throughout this journey!📅🚀🎉 gg

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

  1. Dissertation
    Digital Phenotyping and Genomic Prediction Using Machine and Deep Learning in Animals and Plants
    Ye Bi
    2024
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  2. 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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  3. 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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  4. 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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