Gabriel Mitchell

Gabriel Mitchell is an Applied Scientist with an extensive background in computational science, physics, and biology. They have worked in various capacities, including developing machine learning models for Amazon and creating forecasting tools at Fred Hutch. Currently employed at Seattle Cancer Care Alliance, Gabriel combines expertise in dynamical systems modeling and time series analysis with a strong focus on high-performance computation and machine learning. Their educational credentials include a Master’s in Physics and a BA in Computational Physics from Oregon State University.