Virginia Zamponi is a Simulation Developer and Graduate Research Assistant at the Virginia Modeling, Analysis, and Simulation Center (VMASC) since January 2022, specializing in agent-based modeling to explore health inequalities in Norfolk, VA. Virginia's work includes a notable project that garnered recognition as a finalist in the 2022 Datathon, focusing on the impact of significant trees on reducing heat stress. Prior experience includes serving as an Undergraduate Research Assistant at Old Dominion University, where Virginia developed a standalone MATLAB GUI for stem cell printing activities, and a Summer Intern position at NATO M&S COE, where Virginia utilized Python and C++ for military modeling and simulation. Virginia holds a Master of Science in Modeling and Simulation Engineering and a Bachelor of Science in Computer Science from Old Dominion University, along with two Associate of Science degrees from Tidewater Community College.
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