
Data and operations research in mobility and transportation
Last Updated: 22nd November 2020 (over 2 years ago)
Summary
Education
Exchange student Master in Transport, Infrastructure and Logistics (TIL)
Aug 2015
— Jul 2016
MSc. in Engineering: Traffic, Logistics and ITS (VLITS)
Sep 2014
— Jan 2017
Strong focus on operations research and quantitative methods
Thesis: “Optimal timetables for temporarily unavailable tracks” (19.5 / 20)
BSc. in Engineering: Chemical Technology and Material Sciences [in Dutch]
Sep 2010
— Jan 2014
Experience
Data Scientist mobility and public transport
Sep 2018
— Current
• Initiator and main contributor to an innovative optimisation model for electric bus scheduling, developed in Python and Cplex. The model handles larger instances than some state-of-the-art models.
• Data analysis, simulation and optimisation for public transport tenders in The Netherlands and Sweden (on-site): high-paced projects with financial impact
• Inhouse development of data-driven products to provide insights in travel behaviour and performance two major operators (RET and Transdev NL)
• Business development through brainstorm sessions focussed on operations research and smart cities, and writing tenders
Advisor Rail Network Studies
May 2017
— Aug 2019
• Simulation of the complete Dutch national timetable for 2018 and 2019
• Automating Open Track data input, reducing the time required from 8 days to 1 day. Tool has been sold to Netherlands Railways.
• Researching the potential of the OpenTrack API to enable the use of external dispatching and other algorithms
• Pushing OpenTrack’s performance to the edge by doing large-scale simulations and discussing extensions with the Swiss developers
Research Intern at the Day Planning department
Jul 2016
— Aug 2016
Student Research Assistant
Feb 2016
— Jun 2016