Summary
Karen Angeles is a data-driven catastrophe modeler and Senior Analyst with a Ph.D. in Civil Engineering and eight years of experience translating messy, international hazard data into actionable risk insights for insurers and infrastructure stakeholders. Based in Boston, she has led development of flood and typhoon vulnerability components used to quantify portfolio risk, drove process and standards for catastrophe modeling at scale, and improved model accuracy by 15–30% through advanced feature engineering and Python/SQL workflows. Her research blends Bayesian data integration and object‑oriented data models to enable component-level fragilities and automated regional loss estimation from unstructured open data. Comfortable presenting technical readiness to C-suite audiences, she pairs deep technical rigor with a practitioner’s focus on decision-making, mitigation, and resilient design.
8 years of coding experience
5 years of employment as a software developer
University of California San Diego
Doctor of Philosophy (Ph.D.), Civil Engineering, Ph.D., Doctor of Philosophy (Ph.D.), Civil Engineering, Ph.D. at University of Notre Dame
English, Spanish