I’m a transportation modeler and data scientist with two decades of mainly public sector experience in shaping how regions plan for the future. From pioneering activity-based models to integrating AI into analytic workflows, I love building complex systems that help planners understand project and policy trade-offs.Currently, I serve as Principal Modeler at the Metropolitan Transportation Commission, where I lead the development of the Bay Area’s second-generation activity-based modeling system, called Travel Model Two. Before that, I spent 12 years at the Puget Sound Regional Council, where I managed the travel modeling and data science teams, designed household travel survey programs, and helped translate complex regional models into meaningful stories for decision-makers. I started my career in Denver with Parsons Transportation Group and Denver Regional Council of Governments where I worked for about 8 years.I’m especially passionate about:•Developing reproducible, flexible, open-source modeling workflows•Advocating for accessible, equity-informed land use and transportation infrastructure•Working with planners to create useful modeling metrics and sensitivities

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