Chanae K Ottley

College of Engineering

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.

Works (1)

Updated: July 5th, 2023 14:17

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.

By: E. Buckner n, H. Tong n, C. Ottley n & C. Williams n

Ed(s): J. Jez & C. Topp

MeSH headings : Machine Learning; Phenotype; Plant Development; Plants / genetics; Stress, Physiological
Sources: Web Of Science, ORCID
Added: June 21, 2021


Updated: March 31st, 2023 09:32

2019 - present

North Carolina State University Raleigh, North Carolina, US
Electrical and Computer Engineering

2017 - 2019

Florida Agricultural and Mechanical University Tallahassee, US
Bachelors of Science in Mathematics Mathematics

2015 - 2017

University of the Virgin Islands St Croix, Virgin Islands, U.S., US

Funding History

Funding history based on the linked ORCID record. Updated: March 31st, 2023 09:35

grant July 1, 2020 - June 30, 2025
National Institute of General Medical Sciences
grant July 1, 2018 - June 30, 2021
LSAMP BD: North Carolina State University Preparing Researchers of the Future (PROF) NC-LSAMP
Directorate for STEM Education