Research

  • Assessing Green Hydrogen Production via Offshore Wind in the Dutch North Sea: Complementing Techno-Economic Simulation With Machine Learning and Optimization

    with Laurens Frowijn, Riccardo Travaglini, Renske van 't Veer, Alessandro Bianchini, Kenneth Bruininx, Dick den Hertog and Zofia Lukszo
    Paper Code

  • Robustness Analysis for Adaptive Optimization With Application to Industrial Decarbonization in the Netherlands

    with Gregor Brandt, Jaron Davelaar, Dick den Hertog, Zofia Lukszo and Nort Thijssen
    Paper Code Poster

  • ROBIST: Robust Optimization by Iterative Scenario Sampling and Statistical Testing

    with Guanyu Jin, Dick den Hertog and Roger Laeven
    Paper Code

Teaching

  • Teaching Assistant

    LNMB - Optimization and Machine Learning (2025)
    UvA - Analytics for a Better World (2021, 2022, 2023, 2024)
    UvA - Introduction to Programming in Python (2024)
    UvA - Business Operations and Processes (2022, 2023)
    EUR - Markov Processes (2019)
    EUR - Introduction to Programming in Java (2018)
    EUR - Linear Programming (2017, 2018, 2019)

  • Lecturer

    TUD - Engineering Optimization and Integrating Renewables in Electricity Markets (2023)
    Provided additional course material and guest lecture on dealing with uncertainty
    Slides

Presentations

  • ASF SEEMS Seminar (2025)
  • European PhD Hydrogen Conference (2025)
    Slides
  • 25th International Symposium on Mathematical Programming (2024)
    Slides
  • KU Leuven ESIM seminar (2024)
  • SIAM Conference on Optimization (2023)
    Slides
  • ETH Zurich Summer School on “Energy Technology, Policy and Politics” (2023)
    Poster
  • LNMB Annual Meeting (2023, 2024, 2025)
  • Young Energy Economists and Engineers Seminar (2023, 2024)
    Slides
  • EI-ERIM-OR Seminar (2022)
  • European Conference on Operational Research (2022)