Daniela Jones Email & Phone Number
Who is Daniela Jones? Overview
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Daniela Jones is listed as Assistant Professor and Data Science Academy Director of Agricultural Analytics at North Carolina State University, based in Durham, North Carolina, United States. AeroLeads shows a matched LinkedIn profile for Daniela Jones.
Daniela Jones previously worked as Assistant Professor & Data Science Academy Director of Agricultural Analytics at North Carolina State University and Research Assistant Professor at North Carolina State University. Daniela Jones holds Doctor Of Philosophy (Ph.D.), Biological And Agricultural Engineering, Successfully Defended On October 4Th, 2017 from Texas A&M University.
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About Daniela Jones
Assistant Professor in the Biological and Agricultural Engineering Department at North Carolina State University with a joint appointment with Idaho National Laboratory. Develops large-scale heterogeneous and geo-temporal data-intensive models to better understand and enhance the sustainability of intensifying agricultural systems. Particularly, collaborating with Idaho and Oak Ridge National Laboratories to analyze the feasibility of harvesting, pre-processing, storing, and delivering agricultural waste for conversion to energy in efforts to reduce the anthropogenic impacts to the environment. Additionally, Dr. Jones works with industry to utilize data collected from gene expression to management practices to ground-based sensors (such as soil moisture sensors) to drone imagery to weather stations to satellite sensors during planting, growing, harvesting, and packing to identify the factors that affect produce yield expressed as quantity and quality.
Listed skills include Research, Data Analysis, Simulations, Statistics, and 45 others.
Daniela Jones's current company
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Daniela Jones work experience
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Assistant Professor & Data Science Academy Director Of Agricultural Analytics
Current
Research Assistant Professor
Engineer with operations research experience applied to the agricultural-based energy sector. Continuously working on promoting environmentally friendly energy sources, and developing mathematical models and solution algorithms to solve large-scale problems that arise in the areas of transportation, logistics, and renewable energy systems. I focus on.
Joint Appointment Faculty
CurrentFoster a strong, mutually beneficial relationship between INL's Bioenergy Technology Program and North Carolina State University.
Postdoctoral Associate
The Duke Biosciences Collaborative for Research Engagement (BioCoRE) program is primarily funded by the National Institutes of Health's Initiative for Maximizing Student Development (NIH-IMSD) grant. The BioCoRE program is centered on building an inclusive community of research scholars in the biomedical, biological and behavioral sciences for.
Graduate Research Assistant
- Assessed national predicted perennial grass inventories (collaboration with Oak Ridge National Laboratory members).
- Determined the feasible future structure & spatial location of the US biomass feedstock supply chain using algorithms in ESRI ArcGIS.
- Simulated the system process and performance of an experimental module-based biomass collection system.
Graduate And Undergraduate Research Assistant
- Developed decision support systems and optimization models to design and manage the supply chain for agricultural feedstock for liquid fuel production.
- Formulated cost functions for intermodal (truck, rail and barge) delivery of feedstock in a commodity-scale production of bioenergy
- Conducted literature review and developed methods to improve the safety of power grids.
Teaching Assistant For The Information Systems Course
- Assisted learning the fundamentals to design, program and implement database systems taking into account the needs of the applications and its users.
- Facilitated laboratory sessions to develop, design and program Excel applications to support engineering analyses using the Visual Basic for Applications (VBA) language.
Analyst Of Biofuels And Renewable Energy Technology
- Analyzed the impact of intermodal facilities to the design and management of advanced biomass supply systems.
- Implemented transportation cost functions into INL’s biomass logistics model.
Research Assistant
- Explored new material systems for powder metallurgy.
- Compacted, sintered, heat treated and mechanically tested titanium-iron alloys at varying densities and compaction pressures.
Materials Engineer Intern
- Performed efficiency studies on production lines
- Designed the assembly layouts of production lines.
Spanish Tutor
Daniela Jones education
Doctor Of Philosophy (Ph.D.), Biological And Agricultural Engineering, Successfully Defended On October 4Th, 2017
Business Management Certificate, Business Management
Master'S Degree, Industrial Engineering
Bachelor'S Degree, Industrial Engineering
Frequently asked questions about Daniela Jones
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What company does Daniela Jones work for?
Daniela Jones works for North Carolina State University.
What is Daniela Jones's role at North Carolina State University?
Daniela Jones is listed as Assistant Professor and Data Science Academy Director of Agricultural Analytics at North Carolina State University.
Where is Daniela Jones based?
Daniela Jones is based in Durham, North Carolina, United States while working with North Carolina State University.
What companies has Daniela Jones worked for?
Daniela Jones has worked for North Carolina State University, Idaho National Laboratory, Duke University, Texas A&M University, and Mississippi State University.
How can I contact Daniela Jones?
You can use AeroLeads to view verified contact signals for Daniela Jones at North Carolina State University, including work email, phone, and LinkedIn data when available.
What schools did Daniela Jones attend?
Daniela Jones holds Doctor Of Philosophy (Ph.D.), Biological And Agricultural Engineering, Successfully Defended On October 4Th, 2017 from Texas A&M University.
What skills is Daniela Jones known for?
Daniela Jones is listed with skills including Research, Data Analysis, Simulations, Statistics, Mathematical Modeling, Optimization, Latex, and Statistical Modeling.
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