Summary
Maggie Zarekarizi is a Senior Research Scientist with nine years of experience bridging academic rigor and production-grade data science, currently working at Amazon after leading R&D and risk products at Jupiter Intelligence. She specializes in building statistical, ML and deep-learning systems for hydrology and climate risks, taking models from experiment through containerized deployment and large-scale production. With a PhD and postdoctoral work at Penn State, her research has been published in high-impact journals and informed policy (e.g., Pennsylvania Climate Assessment) and operational tools featured by NOAA and NWS. Maggie codes fluently in Python, R, and MATLAB and blends explainable deep-learning with process-driven methods to deliver actionable decision-support systems. An unusual strength is her track record of turning complex physical models into user-facing web apps and decision tools that earned NASA recognition for visualization and storytelling.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Civil and Environmental Engineering, Doctor of Philosophy (PhD) Civil and Environmental Engineering at Portland State University
Master's degree Civil Engineering, Master's degree Civil Engineering at Shahid Beheshti University
persian (farsi), English