PROFESSIONAL EXPERIENCE

Feb 2022 – Present | TU Delft

PhD Candidate- Reinforcement Learning for Air Traffic Control
  • Applied Machine Learning research within the operational constraints of Air Traffic Control.
  • Conducted fundamental research on open questions in (Multi-Agent) Reinforcement Learning and utilized various methods for encoding input vectors, such as Attention, CNN, or LSTM-based methods.
  • Developed an open platform for Reinforcement Learning research in aviation: BlueSky-Gym.
  • Find my publications on ResearchGate for more info.

Sep 2020 – Jan 2021 | LVNL - Dutch Air Traffic Control Center

Machine Learning Researcher
  • Developed various models for predicting the arrival time of incoming aircraft using raw radar data and Python.
  • New developed models based on random forest regressors and neural networks outperformed existing arrival time estimators in 98% of the cases.

Aug 2019 – Sep 2020 | Vattenfall Solar Team

Strategist & Software Engineer
  • Developed a simulator and corresponding optimization algorithm in Matlab for a highly efficient solar car to compete in the multi-day American Solar Challenge.
  • Maintained the onboard computer and developed the cruise control module using C++.

Sep 2017 – Jul 2018 | OGD, Delft

IT Support Engineer
  • Assisted various companies, such as VNONCW and MKB Nederland, in their transitions between (hardware) systems, guiding new users where necessary.
  • Provided general on-floor IT support, handling calls such as malfunctioning hardware and software.

EDUCATION

Sep 2018 – Dec 2021 | M.Sc. in Control and Simulation, Cum Laude

Delft University of Technology, Faculty of Aerospace Engineering