CEFS Graduate Student Fellowships
The goal of the CEFS Fellows program is to support through networking and professional development our future food and agriculture systems leaders.
The Center for Environmental Farming Systems (CEFS) Graduate Fellows Program was developed to provide financial support, recognition, networking, and professional development for future leaders, researchers, and practitioners in sustainable agriculture and local food systems while they pursue academic research to further their field of study.
CEFS is one of the nation’s most important centers for research, extension, and education in sustainable agriculture and community-based food systems. It is recognized as a national and international leader in the local foods movement and is celebrated for its work in building consensus around policies, programs, and actions that facilitate a vibrant local food economy.
2025 Cohort – N.C. A&T

Andrews Tang | Doctorate | Computational Data Science and Engineering | N.C. A&T
Andrews Tang’s research focuses on the intersection of machine learning, computer vision, and sustainable agriculture. His primary objective is to develop autonomous robotic systems that enhance farm operations and improve precision agriculture practices. With CEFS, Andrews’ research centers on designing and deploying autonomous agricultural vehicles and robotic systems capable of crop monitoring, disease and pest detection, and precision farming. This involves integrating deep learning with computer vision techniques and utilizing advanced sensing technologies such as LiDAR, radar, and multispectral imaging to enhance real-time data collection and decision-making. His ultimate goal is to transform these sensory inputs into intelligent robotic control systems that optimize farming efficiency and sustainability.
Previously, at the DIPPER Lab in Ghana, Andrews developed a deep convolutional model for detecting adulterated red palm oil, addressing critical food safety concerns. This research was validated by KNUST’s Department of Food Science and Technology and the KNUST Central Lab, with ongoing validation by the Ghana FDA. His experience in leveraging deep learning for food quality assurance has strongly influenced his drive to develop AI-driven solutions for broader agricultural applications. Prior to joining N.C. A&T, Andrews earned his Bachelor of Science in Computer Engineering from Kwame Nkrumah University of Science and Technology (KNUST), Ghana. During his undergraduate studies, he was actively involved in machine learning research, focusing on applying deep learning techniques to real-world problems. His background in computer vision, IoT-based platforms, and blockchain technology provided a strong foundation for his current research pursuits in AI-driven agricultural automation.
Beyond his research, Andrews is deeply committed to bridging AI and agriculture to create innovative, scalable, and climate-resilient farming systems. Through the CEFS Fellowship, Andrews aim to leverage his expertise in machine learning, robotics, and sensing technologies to develop solutions that improve crop health monitoring, automated decision-making, and resource optimization.

Abhinav Pendem | Doctorate | Computational Data Science and Engineering | N.C. A&T
Abhinav Pendem’s research focuses on integrating Virtual Reality (VR) into agricultural applications, particularly in developing interactive and real-time 3D simulations of farming environments. Being the son of a farmer from India, where agriculture is the backbone of the nation, Abhinav is am passionate about leveraging advanced technologies to support sustainable farming practices. His current work involves building informative and interactive VR-based simulations using Blender and Unity to create immersive agricultural models, including a real-time poultry farm simulation at N.C. A&T. His research aims to enhance decision-making, training, and efficiency in agricultural systems by utilizing immersive VR experiences.
Abhinav holds a Master’s degree in Data Science from the University of Massachusetts Dartmouth, where he specialized in predictive analytics, AI-driven decision-making, and data management. Before that, he completed a Bachelor of Technology in Computer Science and Engineering at Anurag Group of Institutions in Hyderabad, India, where he built a strong foundation in data science, machine learning, and software development.
His professional experience includes working as a Data Analytics Engineer at Tata Consultancy Services (TCS), where he collaborated with Fortune 20 companies in large-scale data management, AI-driven analytics, and automation solutions. Abhinav also contributed to academic research through a graduate research assistantship at the University of Massachusetts Medical School (UMMS), focusing on healthcare analytics, and later worked as a Data Analytics Engineer at the University of Massachusetts President’s Office, overseeing data management for all five UMass campuses. Now, as a PhD student, he is channeling his expertise into agricultural research, integrating Virtual Reality with farming applications to develop interactive 3D simulations that support sustainable agriculture and farm management.
2024 Cohort – NC State

Ashlee George | Doctorate | Crop Science | NC State University
Ashlee is a Ph.D. student in the Department of Crop and Soil Sciences at North Carolina State University, where she is co-advised by Dr. Suchoff of the Alternative Crops lab, and Dr. Woodley of the Sustainable and Organic Soil Fertility lab. Ashlee’s work is focused on emerging production concerns for fiber hemp – nitrogen fertility, weed suppression, and retting time. With growing industry interest in fiber hemp, hemp acreage in North Carolina is expected to increase in the coming years. Much of this acreage is predicted to be on land that was previously used for tobacco production along the coastal plain, where many other commodity crops are not performing well. Therefore, establishing production recommendations that maximize fiber yield and quality while maintaining an emphasis on sustainable practices and profitability is crucial. Her nitrogen fertility and weed suppression studies utilize cover crops as an alternative to synthetic fertilizers and herbicides, respectively. By replacing synthetic inputs with cover crops, growers will be able to build soil health while reducing their input costs. The potential impacts of fiber hemp production on soil health continues into her retting study, where localized climate data and sensors will be used in conjunction with fiber analyses to create a machine learning model to predict retting for fiber quality and processability, while understanding the recycling of nutrients from the decomposing stem back into the soil.
Ashlee is originally from Wilmington, North Carolina. She received her B.S. in Environmental Science from North Carolina State University and her M.S. in Natural Resources and Environmental Systems from North Carolina A&T State University. When Ashlee is not in the field or the lab, she enjoys spending time in nature or at home with her cat (Spam).

Benjamin Rajo | Doctorate | Animal Science | NC State University
Benjamin is a Ph.D. student in the Department of Animal Science at NC State University, where he conducts research under the advisory of Dr. Daniel Poole. Originally from Honduras, Benjamin earned his bachelor’s degree in agricultural sciences from Zamorano Panamerican Agricultural University in 2012. After graduating, he spent eight years as a farm operations manager in northern Honduras, where he implemented a Silvopasture model for raising crossbred beef cattle. In 2021, Benjamin joined the Poole lab at NC State to pursue his graduate studies. He completed his master’s degree in animal science in 2023 and is now entering the second year of his doctoral program. His research focuses on investigating the effects of environmental and nutritional variables on physiological and performance parameters of beef cattle, with the objective of identifying strategies to improve productivity, efficiency, and profitability of beef operations.

DoYeong Hur | Doctorate | Soil Science | NC State University
DoYeong is a Ph.D. student in Soil Science at North Carolina State University, in the Sustainable and Organic Soil Fertility Lab led by Dr. Alex Woodley. His research is primarily focused on the evaluation of enhanced efficiency fertilizers for reducing nitrous oxide emissions and ammonia volatilization in corn systems. The objective of his research is to provide production level regional emission factors, economic assessments, and reduction potential of environmental externalities of management choices that include full and reduced nitrogen rates with the use of enhanced efficiency fertilizers. DoYeong’s research aims to investigate the possibilities of reducing N losses in the form of nitrous oxide and ammonia while sustaining crop productivity by applying enhanced efficiency fertilizers. Moreover, he intends to utilize data collected over three years from six field sites annually, in conjunction with DeNitrification DeComposition (DNDC) modeling, to simulate nitrogen cycling and assess nitrous oxide emissions.
Prior to joining NC State, DoYeong completed his bachelor’s and master’s degrees in soil science at Pusan National University in South Korea. During his graduate studies, he researched recycling byproducts like bottom ash to mitigate greenhouse gas emissions. Additionally, he contributed to research that registered nitrous oxide emission factors from various types of animal manure in South Korea with the Intergovernmental Panel on Climate Change (IPCC). Throughout the CEFS program, he eagerly anticipates gaining insights from colleagues and experts in this field, all the while applying and disseminating that knowledge through research and extension initiatives.

Bianca Jimenez | Doctorate | Applied Ecology | NC State University

Lillian Lower | Doctorate | Biological and Agricultural Engineering | NC State University
Lillian is a Ph.D. student in biological and agricultural engineering at North Carolina State University in the Biocarbon Utilization and Sequestration Lab. Her research is focused on producing anode materials for lithium-ion batteries from unique biomasses and waste materials via catalytic graphitization. This process can produce battery-grade graphite from previously non-graphitizing materials and will enable the valorization of lignocellulosic wastes and residues while producing an energy storage material. The goal of this work is to study the particular implications mechanism, biomass, catalyst type and loading have on electrochemical performance of the anode materials produced. Lillian hopes that this work will create more avenues for sustainability and waste utilization in North Carolina’s food and agriculture systems while establishing interdisciplinary partnerships between material scientists and agricultural stakeholders. Before beginning her doctoral program, Lillian received her bachelor’s degree in civil engineering from Gonzaga University and her master’s degree in biological and agricultural engineering from NC State. She has also had the chance to work on small and large-scale urban and rural farms through an AmeriCorps term of service in West Virginia. She continues to pursue her passions for sustainability and service by being an active member of her department’s education and outreach group. Through the CEFS Fellowship, Lillian hopes to learn more about North Carolina’s farming systems and how her and her peer’s research and extension projects can create lasting impacts. In her free time, she enjoys playing with her dog and cooking.

Leticia Santos | Doctorate | Biological and Agricultural Engineering | NC State University
Leticia Santos is a Ph.D. student in biological and agricultural engineering at North Carolina State University, in the Intelligent Data for Energy and Agriculture Logistics and Supply Chain Lab (IDEALS), led by Dr. Daniela Jones. Her mentors also include Dr. Chris Reberg-Horton, as well as researchers from USDA and USGS. Her research focuses on using satellite imagery, a low-cost and scalable alternative for crop residue cover estimation, to map historical conservation tillage practices on agricultural lands. By quantifying soil cover residue through remotely sensed data and machine learning techniques, Leticia aims to empower government agencies and agricultural stakeholders with high-throughput methods to measure, monitor, report, and verify tillage intensity practices on large-scale farms. These assessments could incentivize climate-smart practices such as conservation tillage and cover crops, reducing agricultural greenhouse gas emissions. Before beginning her doctoral program, Leticia holds a bachelor’s degree from Sao Paulo State University (UNESP) in agronomy, a master’s degree from UNESP in Plant Production and a second master’s from Louisiana State University in plant and environmental soil science. She has also had the chance to work on large-scale rural farms Bayer Crop Science in the heart of Brazilian Midwest agriculture. She continues to pursue her passions for agriculture and sustainability by actively participating in her department’s mentorship group. Through the CEFS Fellowship, Leticia aims to deepen her understanding of North Carolina’s farming systems and explore how her research, along with her peers’ extension projects, can drive meaningful and lasting change in our agricultural workforce. In her free time, she enjoys cooking and crocheting.

Fred Teasley | Doctorate | Crop and Soil Sciences | NC State University
Fred Teasley is a Ph.D. student in the Department of Crop and Soil Sciences working with advisor Dr. Alex Woodley. His research is investigating soil health dynamics of farming systems transitioning from conventional to organic management. Soil health, a concept that can be broadly defined as functioning for a desired purpose, is largely tied to soil organic carbon in agroecosystems. Soil organic carbon is important for organic farming because it promotes soil biological activity, which in turn controls the release of plant nutrients from important sources, such as cover crop residues. Farmers seeking to adopt organic management are often hampered by low soil organic carbon levels, a condition especially pertinent to the Coastal Plain region of North Carolina. Therefore, the conventional-to-organic transition period represents a period of increased risk for farmers seeking to maximize yields and maintain profit.
Soil health indicators, laboratory tests that couple the biological, chemical, and physical functions of soil, can provide useful insight into the capacity of agricultural soils for supporting organic management during the transition period. However, test results may be subject to differences between soils of different regions, necessitating region-specific studies that seek to better understand how test results should be interpreted. Fred’s research seeks to better understand which soil health indicators are of the most relevance to organically managed, low carbon soils of the North Carolina Coastal Plain.
Fred obtained a B.S. from Towson University in environmental science and a M.S. from the University of Delaware in plant and soil science. His interest in agriculture was initially kindled while engaged in work-trade arrangements on small farms located throughout the United States. Upon graduating from the University of Delaware, he took a job unrelated to agriculture, working for a local government, but realized that his interest in agriculture was not abating when he found himself running backyard, DIY field studies in soil fertility. In his free time, he enjoys listening to music, cooking, and repairing vintage motorcycles.
Former CEFS Graduate Fellows
Click here to view the past cohorts of CEFS Graduate Fellows