I am a graduate student pursuing a doctoral degree in Electrical Engineering at North Carolina State University. I am interested in projects that explore the intersection of mathematics and electrical engineering to understand challenges relating to systems biology. My graduate research aims to apply machine learning to understand high-throughput phenotypic data on stressed plants. After graduate school, I intend to have a career in industry or academia.
2024 article
Divide and conquer: using R<sc>hizo</sc>V<sc>ision</sc> E<sc>xplorer</sc> to aggregate data from multiple root scans using image concatenation and statistical methods
Seethepalli, A., Ottley, C., Childs, J., Cope, K. R., Fine, A. K., Lagergren, J. H., … York, L. M. (2024, October 6). NEW PHYTOLOGIST, Vol. 10.
2021 review
High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales
(J. M. Jez & C. N. Topp, Eds.) [Review of ]. EMERGING TOPICS IN LIFE SCIENCES, 5(2), 239–248.
Ed(s): J. Jez & C. Topp
Updated: March 31st, 2023 09:32
2019 - present
2017 - 2019
2015 - 2017
Funding history based on the linked ORCID record. Updated: March 31st, 2023 09:35
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