Maria Molina is an Assistant Professor at the University of Maryland specializing in data science for climate and extremes, with nine years of research and applied experience spanning academia and national labs. She directs a research group that blends high-resolution modeling and deep learning to study severe convective storms and climate extremes, and maintains active collaborations at NCAR’s Climate and Global Dynamics Laboratory. Her background spans PhD-level earth and ecosystem science, a MA in Climate and Society, and early-career communication roles as a bilingual TV meteorologist, giving her an uncommon mix of public-facing science communication and technical expertise. Maria’s work has bridged operational forecasting, AI-driven lightning and extreme weather challenges, and subseasonal-to-seasonal variability studies, emphasizing actionable insights for risk and preparedness. She holds joint academic appointments and brings a pragmatic, interdisciplinary approach to translating complex climate data into decision-relevant knowledge.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Meteorology, Bachelor of Science - BS, Meteorology at Florida State University
Master of Arts - MA, Climate and Society, Master of Arts - MA, Climate and Society at Columbia University in the City of New York
Doctor of Philosophy - PhD, Earth and Ecosystem Science, Doctor of Philosophy - PhD, Earth and Ecosystem Science at Central Michigan University
Contributions:90 commits, 78 pushes, 1 branch in 2 years 3 months
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