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Inga Maslova is an Associate Professor specializing in Clinical Data Sciences Operations at USC Marshall. She is an applied statistician with expertise in time series analysis, machine learning, wavelet techniques, functional data analysis, and big data. Her research interests span finance, business analytics, economics, hydrology, remote sensing, precision agriculture, and climate change issues. Inga is noted for the development of courses in statistical learning, business statistics, and data visualization. Her practical experience includes consulting for Cisco and collaborating with the World Bank on business cycle synchronization. She has played a key role in analyzing drone data to aid farmers in making informed crop management decisions at the Utah Water Research Lab and has utilized statistical learning models to forecast commodity prices. Inga has been recognized for her excellence in teaching, receiving the Golden Apple Teaching Award in 2018. Before her tenure at USC, she served on the faculty at American University in Washington, D.C. She holds a Summa Cum Laude BS in Mathematical Statistics from Vilnius University, Lithuania, and both an MS and PhD in Statistics from Utah State University.
USC Marshall • Los Angeles, CA
Specializes in Clinical Data Sciences Operations; developing and teaching courses related to data analysis, machine learning, and statistical methods.
American University • Washington, D.C.
Taught courses in statistics and data analysis.
GRE is NOT required for Master's applicants for 2025-2026.