Robert Garrett is a Senior Catastrophe Risk Modeler with a decade of experience translating advanced spatiotemporal statistics and machine learning into operational climate and security risk tools. He holds a Ph.D. in Statistics from UIUC and has built scalable, multi-GPU AI pipelines and guidance for secure LLM and computer-vision deployments at CMU’s Software Engineering Institute. At Sandia he developed novel hybrid ML/statistical models for wildfire and volcanic-aerosol impacts, with work published at NeurIPS and Environmetrics, demonstrating a rare blend of rigorous theory and actionable risk assessment. Now at KatRisk, he focuses on catastrophe modeling that directly informs resilience and resource-security decisions, pairing research-grade methods with production-ready code. A less obvious strength is his track record of bridging interdisciplinary teams—government, national labs, and clinicians—to turn complex observational datasets into decision-ready analytics.
10 years of coding experience
3 years of employment as a software developer
Mathematics and Statistics B.S. Predictive Analytics Co-Major Minor in Computer Science, Mathematics and Statistics B.S. Predictive Analytics Co-Major Minor in Computer Science at Miami University
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of Illinois Urbana-Champaign
:exclamation: This is a read-only mirror of the CRAN R package repository. fdasrvf — Elastic Functional Data Analysis
Contributions:7 pushes in 1 year 1 month
r-packagecran-rdata-analysiscranelastic
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