Elizabeth Gronski is a data scientist with research interests in geospatial data science, spatial analytics, machine learning, environmental data analysis, and data-driven decision support. She earned her Master of Science in Data Science and Analytics with a specialization in Geospatial Analytics from the University of Missouri. She also holds a Bachelor of Science in Informatics with a specialization in Data Science from the University of Washington.

At the University of Missouri, Gronski participated in multi-faceted research projects examining soil health across diverse agricultural regions in Missouri. Her work focused on analyzing the intricate relationships between agricultural management practices, key soil characteristics, and soil testing outcomes. In particular, she investigated plant-available water and soil water-holding capacity, generating data-driven insights aimed at supporting sustainable farm management, optimizing agricultural productivity, and advancing food security initiatives. Gronski leverages this applied background in geospatial and environmental dataset analysis to uncover spatial patterns and deliver decision support for complex environmental challenges.