Summary
Laura Arbetman is a staff scientist at Fred Hutch with 11 years of quantitative research experience, combining a PhD in Applied Mathematics with deep expertise in infectious disease modeling and public health policy. She applies a broad toolkit—machine learning, dynamical systems, differential equations, stochastic processes, and optimization—to translate complex biological and operational problems into actionable insights. Known for simplifying complexity and communicating clearly to diverse audiences, she thrives in interdisciplinary teams and drives high-impact, productive collaborations. Her career spans foundational within-host viral modeling to strategic resource-allocation optimization, reflecting both theoretical rigor and practical impact on public health decisions. Based in Seattle, she blends academic training with sustained translational work at Fred Hutch that bridges math, statistics, and computational implementation.
11 years of coding experience
7 years of employment as a software developer
MS, Mathematics, MS, Mathematics at University of Washington
Universidad Nacional Autónoma de México (UNAM)
Spanish, French