Data and operations research in mobility and transportation


Last Updated: 22nd November 2020 (about 1 year ago)

Address
United Kingdom

Category
IT and Communication
Logistics, Distribution and Supply Chain
Supply Chain and Logistics
Transport and Traffic

E-mail
Locked

Phone Number
Locked

Gender
Male

Age Range
25 to 34

Qualification Level
Masters

Languages
Dutch, English, French

Summary

Analytical and ambitious puzzle-solver who draws his energy from developing and using prescriptive mathematical simulation and optimisation models to solve mobility-, supply chain- or sustainable energy-related problems. My focus and hunger for knowledge flourish in a result- and quality-driven team with technical and skilled sparring partners. I am always exploring new challenges both in work and leisure, looking for potential clients and application areas. Preference for contact with (internal) stakeholders based on content.

Education

Delft University of Technology, The Netherlands
Exchange student Master in Transport, Infrastructure and Logistics (TIL)

   Aug 2015
— Jul 2016

KU Leuven, Belgium
MSc. in Engineering: Traffic, Logistics and ITS (VLITS)

   Sep 2014
— Jan 2017

Summa cum laude (8.8/10)
Strong focus on operations research and quantitative methods
Thesis: “Optimal timetables for temporarily unavailable tracks” (19.5 / 20)

University of Ghent, Belgium
BSc. in Engineering: Chemical Technology and Material Sciences [in Dutch]

   Sep 2010
— Jan 2014

Summa Cum Laude: 8.4 / 10

Experience

Lynxx BV, Amersfoort (NL)
Data Scientist mobility and public transport

   Sep 2018
— Current

Extracting high-value insights from open or customer data sources, ranging from quality evaluation to optimalisation and simulation models
• 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

Royal HaskoningDHV, Utrecht (NL)
Advisor Rail Network Studies

   May 2017
— Aug 2019

Using simulation tools (OpenTrack and FRISO) for timetable robustness analyses, capacity analyses for new infrastructure and signalling systems
• 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

Netherlands Railways (NS), Utrecht (NL)
Research Intern at the Day Planning department

   Jul 2016
— Aug 2016

Assessing the potential of an optimisation model I developed for the replanning of timetables during maintenance works, for implementation in the planning method

Department Transport & Planning TU Delft, Delft (NL)
Student Research Assistant

   Feb 2016
— Jun 2016

Developing an optimisation model for large-scale macroscopic replanning of cyclic timetables, using Matlab, Gurobi and Cplex

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