Jensina Davis
PhD Student
Jensina Davis is a graduate student in the Complex Biosystems program at UNL specializing in Integrated Plant Biology. She received her B.S. in Agronomy and Seed Science with a minor in Statistics from Iowa State University in May 2022. Originally from Brookings, SD, she has completed several internships with companies in the agriculture industry and is passionate about advancing sustainability in agriculture using computational and statistical research methods.
In the News
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Three students receive IANR fellowships
Three students in our lab were honored as UNL graduate fellowship recipients. Congratulations to Jensina Davis (Hardin Fellow), Nikee Shrestha, and Sofiya Arora (Widaman Fellows). -
Nebraska Corn outreach
Jensina, Sofiya, and Harshita had the chance to meet with members of the Nebraska Corn Growers Association and talk about their work on lab projects related to crop breeding, optimizing nitrogen use, and using artificial intelligence to study leaf diseases in new ways. -
UNL-Bayer Hackathon
Ryleigh Kirby, Harshita Mangal, Sofiya Arora, Jensina Davis, Hadiya Kounsar, Ozgur Altundas, Amany Gomaa, and Karla Cuéllar joined the Bayer Agriculture Data Hackathon, where Sofiya’s team won first place, Hadiya and Ryleigh’s team took second, Jensina’s team placed third, and Ozgur’s team earned the social engagement award. -
Students Presentations at the PSI Plant Science Symposium
Jensina Davis, Harshita Mangal, and Sofiya Arora each had the chance to deliver presentations at the 2025 PSI Plant Science Symposium here on campus. -
Corteva New Frontiers symposium
Jensina Davis, Sofiya Arora, and James Schnable were invited attendees and presenters at the Corteva-organized New Frontiers symposium in Johnston, Iowa. -
Jensina wins another fellowship
Jensina Davis was selected for a Heuermann Award by the Center for Plant Science Innovation. The fellowship is awarded excellence in plant science research and potential impact on the field subsequent to graduation.
Recent Publications
- (2025) 3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy. Plant Phenomics doi: 10.1016/j.plaphe.2025.100023 bioRxiv doi: 10.1101/2024.10.03.616344
- (2025) Assessing the impact of yield plasticity on hybrid performance in maize. Physiologia Plantarum doi: 10.1111/ppl.70278 bioRxiv doi: 10.1101/2025.01.21.634104
- (2024) Sorghum segmentation and leaf counting using an in silico trained deep neural model. The Plant Phenome Journal doi: 10.1002/ppj2.70002