David Wasserman, AICP
- Data Science Practice Leader
- Based In Seattle
The scope of considerations in transportation are expanding as rapid changes in technology provide new options, and goals of transportation investments shift from just enabling mobility to facilitating safe systems and access to opportunity. I am passionate about advancing practices that ensure accountability and help communities align investments in their future to multifaceted goals.
David Wasserman works at the intersection of urban informatics, 3D visualization, geospatial analytics, and visual storytelling. He brings years of experience and passion to applying scientific computing, spatial analysis, and scenario-focused storytelling toward the development of effective transportation planning solutions aimed at improving communities. David joined Alta in 2020, after working for six years at Fehr & Peers advancing their analytics practice. He has experience working on multimodal transportation plans, bicycle master plans, systemic safety studies, python tool and web applications, advanced data visualizations, parking studies, direct ridership models, and station area plans. His current areas of focus are enabling data-informed scenario planning, identifying how to align community goals to metrics to track progress towards them, incorporating civic data science into projects with web-delivery and computer vision derived datasets, and generating accessibility metrics that can identify the possible benefits of projects and who they go to.