Natalie Nelson is an Assistant Professor of Data Analytics and Integrated Modeling in the Biological & Agricultural Engineering Department at North Carolina State University. She leads the Biosystems Analytics Lab, studies from which take a data-intensive, management-focused, and interdisciplinary approach to the study of complex biological system dynamics. Biological systems studied in the lab range from agricultural to aquatic, though most investigations focus on estuarine resources.
PhD in Agricultural & Biological Engineering, 2017
University of Florida
Interdisciplinary Concentration in Hydrologic Sciences, 2017
University of Florida Water Institute
BS in Agricultural & Biological Engineering, 2012
University of Florida
NG Nelson, R Muñoz-Carpena, EJ Phlips, D Kaplan, P Sucsy, J Hendrickson (2018), Revealing biotic and abiotic controls of harmful algal blooms in a shallow subtropical lake through statistical machine learning, Environmental Science & Technology, 52(6), 3527-3535. doi: 10.1021/acs.est.7b05884
Y Rong, AV Padron, KJ Hagerty, NG Nelson, S Chi, NO Keyhani, J Katz, S Datta, C Gomes, and ES McLamore (2018), Post hoc support vector machine learning for biosensors based on weak protein-ligand interactions, Analyst, 143, 2066-2075. doi: 10.1039/C8AN00065D
NG Nelson, R Muñoz-Carpena, PJ Neale, M Tzortziou, JP Megonigal (2017), Temporal variability in the importance of hydrologic, biotic, and climatic descriptors of dissolved oxygen dynamics in a shallow tidal-marsh creek, Water Resources Research, 53, 7103-7120. doi:10.1002/2016WR020196
NG Nelson, R Muñoz-Carpena, EJ Phlips (2017), A novel quantile method reveals spatiotemporal shifts in phytoplankton descriptors between bloom and non-bloom conditions in a subtropical estuary, Marine Ecology Progress Series, 567:57-78. doi:10.3354/meps12054
Technical reports (non-referreed):
NG Nelson, S Ward, and D Ward (2017), Implications of altered freshwater flows on estuarine fish and shellfish: a case study of the Lower Suwannee River. White paper prepared for the Florida Climate Institute, UF Levin College of Law, and UF/IFAS Nature Coast Biological Station.
R Muñoz-Carpena and NG Nelson (2017), Lake George Water Quality Modeling: EFDC and CE-QUAL-ICM Platform Compatibility and Evaluation of Sensitivity Analysis Methodologies. Report to the St. Johns River Water Management District, Palatka, FL. Contract # 28650.