Lawrence Vulis is a Senior Hazard Scientist at CoreLogic, with experience assessing climate risk for over 200 million properties and developing ETL processes using BigQuery, R, and Python. Previously, Vulis held positions as a Hazard Scientist and Data Scientist at Los Alamos National Laboratory, focusing on machine learning for permafrost mapping and developing innovative features for satellite-based observations. Vulis earned a PhD and MS in Civil and Environmental Engineering from UC Irvine, where research focused on the hydromorphology of arctic river deltas and their responses to climate change. Additional roles include engineering research assistant positions at City College of New York, tutoring in calculus, and leadership roles at the New York Public Interest Research Group, highlighting a strong foundation in environmental engineering and data analysis.
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