Data Manager
CurrentCo-authored a successful grant application for 9.87M EUR of Horizon 2020 funding as part of an international consortium of 30 universities, city agencies, and technology companies, 400K+ EUR of which will support AUTOlab over three years. Developed an event-based simulation to compare the performance and energy consumption of traditional, fixed-schedule trains on three Boston lines with a hypothetical on-demand service of small, shared, autonomous, electric vehicles. Co-authored a related academic journal article (submitted for review). Employ Python, SQL, GIS, and various APIs to produce empirically-grounded, synthetic transportation datasets (time and distance matrices, pickup, drop-off, and charging depot locations) for lab projects based on OpenStreetMap and historical travel records.