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Grace Vincent Email & Phone Number

Application Technology and Image Analysis Co-Op at Bayer
Location: Raleigh, North Carolina, United States 13 work roles 5 schools
1 work email found @nasa.gov LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email g****@nasa.gov
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Current company
Role
Application Technology and Image Analysis Co-Op
Location
Raleigh, North Carolina, United States
Company size

Who is Grace Vincent? Overview

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Quick answer

Grace Vincent is listed as Application Technology and Image Analysis Co-Op at Bayer, a company with 48 employees, based in Raleigh, North Carolina, United States. AeroLeads shows a work email signal at nasa.gov and a matched LinkedIn profile for Grace Vincent.

Grace Vincent previously worked as FFAR Fellow at Foundation For Food & Agriculture Research and Graduate Research Assistant at North Carolina State University. Grace Vincent holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering from North Carolina State University.

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Email format at Bayer

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{first_initial}{last}@nasa.gov
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AeroLeads found 1 current-domain work email signal for Grace Vincent. Compare company email patterns before reaching out.

Profile bio

About Grace Vincent

Currently attending NC State University as an Electrical Engineering Ph.D. Student under the advisement of Dr. Cranos Williams. Supported by the FFAR Fellowship and GFSD Fellowship.Completed a Bachelor of Science in both Mathematics and Computer Science with minors in both Data Science and Geospatial Data Analytics, from Fayetteville State University. Was also a member of Fayetteville State University’s Honors Program and Softball team.

Listed skills include Python, Microsoft Office, Teamwork, Java, and 9 others.

Current workplace

Grace Vincent's current company

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Bayer
Bayer
Application Technology and Image Analysis Co-Op
Raleigh, NC, US
Employees
48
AeroLeads page
13 roles

Grace Vincent work experience

A career timeline built from the work history available for this profile.

Application Technology And Image Analysis Co-Op

Raleigh, NC, US

Ffar Fellow

Current

Selected into a highly competitive 2023-2026 Foundation for Food and Agriculture Research (FFAR) Fellows Program. Completing more than 150 hours of professional development training (120 in person, 30 virtually).

Aug 2023 - Present

Graduate Research Assistant

Current

Raleigh, North Carolina, United States

Employing machine learning techniques to identify and assess disease in maize using whole-field hyperspectral imagery. I aim to identify maize disease with minimal visual symptoms at a plot level by leveraging specific wavelengths that highlight disease progression.

Aug 2022 - Present

Visiting Researcher

Current

Fayetteville, North Carolina Metropolitan Area

Applying computer vision techniques to remote sensing and surveillance photos. Implementing models on resource-limited devices to experiment with in-situ deployment.

Jun 2022 - Present

Undergraduate Researcher

Fayetteville, North Carolina Metropolitan Area

Partnering with NASAs Jet Propulsion Lab for guidance in appyling image analysis techniques to robot captured images of scientific targets. This research is following the goals of current NASA Artemis Mission to develop software for autonomous full-scene understanding in a multi-robot system.

Aug 2020 - Jun 2022

S4 Program Undergraduate Research Scholar

Fayetteville, North Carolina Area

Assisting Professors in conducting studies and analysis on the effectiveness of flipped learning retention within the Department of Mathematics and Computer Science.

May 2019 - May 2021

S4 Program Tutor

Fayetteville, North Carolina

Explained and detailed materials during classroom sessions for Mathematics courses. Also, provided non-classroom, academic instruction to students on an individual or small-group basis for proactive or remedial purposes.

Jan 2019 - Jun 2019

Computer Vision Intern

Developed models to utilize multiple Mars Rover mission data to improve terrain segmentation for missions with limited data and site visits. Used machine learning to identify submesoscale oceanic phenomena from earth observations and curated a database. Presented state-of-the-art research at technical conferences and to NASA Headquarters personnel.

May 2022 - Sep 2023

Coastal Resilience Center Research Intern

Chapel Hill, North Carolina, United States

Predicted storm surge heights using artificial intelligence and machine learning to create an advanced hybrid model trained on experimental, simulated, and historical data provided by the US Department of Homeland Security's Coastal Resilience Center. Experimented with both in-situ and spatially dense measurements to reduce computing resources used while.

May 2020 - May 2022

Machine Learning Intern

Washington, District Of Columbia, United States

Worked remotely with NRL Researchers to explore deep learning techniques for processing remote-sensing data. Used computer vision and supplementary algorithms to overcome data challenges to produce accurate land cover classification models.

Jun 2021 - Dec 2021

Secu Public Fellowship Intern

Fayetteville, North Carolina, United States

Effectively communicated City and County data to both citizens and City resources utilizing ArcGIS software capabilities to create interactive maps and dashboards. Responded to citizen requests by creating user-friendly web applications.

Aug 2020 - Nov 2020

Nc Commerce Divison Of Workforce Solutions Intern

North Carolina Office Of State Human Resources

Raleigh-Durham, North Carolina Area

Worked alongside the Division of Workforce Solutions to use local employment data to help clients and citizens more effectively enter employment. Assisted clients in confidential data input into various databases as well as basic technical information. Also tasked with contacting both business vendors and community resources.

Jun 2019 - Aug 2019

City Of Durham Human Resources Intern

Durham, North Carolina

Performed analysis and manipulation of data from all the employees in the City of Durham. Tasked to ensure clean, confidential data input and create analyzed reports from multiple databases.

Jun 2018 - Jul 2018
Team & coworkers

Colleagues at Bayer

Other employees you can reach at foundationfar.org. View company contacts for 48 employees →

5 education records

Grace Vincent education

Doctor Of Philosophy - Phd, Electrical And Computer Engineering

Activities and Societies: Women in Electrical and Computer Engineering (WiECE)

Bachelor Of Science - Bs, Computer Science, 3.97

Activities and Societies: Collegiate Softball, Honors Program, Student-Athlete Advisory Committee, Chi Alpha Sigma Honor Society, and Beta.

Bachelor Of Science - Bs, Mathematics, 3.97

Activities and Societies: Collegiate Softball, Honors Program, Student-Athlete Advisory Committee, Chi Alpha Sigma Honor Society, and Beta.

FAQ

Frequently asked questions about Grace Vincent

Quick answers generated from the profile data available on this page.

What company does Grace Vincent work for?

Grace Vincent works for Bayer.

What is Grace Vincent's role at Bayer?

Grace Vincent is listed as Application Technology and Image Analysis Co-Op at Bayer.

What is Grace Vincent's email address?

AeroLeads has found 1 work email signal at @nasa.gov for Grace Vincent at Bayer.

Where is Grace Vincent based?

Grace Vincent is based in Raleigh, North Carolina, United States while working with Bayer.

What companies has Grace Vincent worked for?

Grace Vincent has worked for Bayer, Foundation For Food & Agriculture Research, North Carolina State University, Fayetteville State University, and Nasa Jet Propulsion Laboratory.

Who are Grace Vincent's colleagues at Bayer?

Grace Vincent's colleagues at Bayer include Rachel Thompson, Kathleen Boomer, Angela Records, Katherine Ayers, and Constance Gewa.

How can I contact Grace Vincent?

You can use AeroLeads to view verified contact signals for Grace Vincent at Bayer, including work email, phone, and LinkedIn data when available.

What schools did Grace Vincent attend?

Grace Vincent holds Doctor Of Philosophy - Phd, Electrical And Computer Engineering from North Carolina State University.

What skills is Grace Vincent known for?

Grace Vincent is listed with skills including Python, Microsoft Office, Teamwork, Java, Arcgis Products, Pandas, R, and Research.

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