Summary
Megan Mallard is a Physical Scientist with over a decade of experience applying and advancing numerical environmental models, specializing in dynamical downscaling of global climate projections to regional domains using WRF. At the U.S. EPA she led methods development for the EPA Dynamically Downscaled Ensemble (EDDE), improving representation of land surfaces, lakes, and spin-up strategies to better characterize multi-decadal extreme events that affect health, ecosystems, and agriculture. Her background spans atmospheric, hydrological, air quality and lake modeling, with earlier work building real-time hurricane forecasting systems and implementing coupled lake–WRF simulations. Megan combines rigorous Ph.D.-level research with practical model evaluation and stakeholder-focused tools, and is known for translating complex climate-model diagnostics into actionable insights for regional impact studies. She is based in Garner, NC and brings a rare blend of hands-on numerical modeling, parameterization testing, and applied decision-relevant science.
10 years of coding experience
10 years of employment as a software developer
Ph.D., Atmospheric Sciences and Meteorology, Ph.D., Atmospheric Sciences and Meteorology at North Carolina State University