Work Experience

  • 2024, Mar: (Interim) Teacher Physics, Óscar Romerocollege (Dendermonde).


  • 2024, Jan – 2025, Mar: Senior Consultant, EY Belgium (FSO Risk).
    I was part of the Quantitative & Financial Risk and was mainly involved in projects concerning Credit Risk. (I also worked on Market Risk, but to a lesser extent).
    • Model validation of financial (credit) risk models (IRB, CCR, …) for leading international financial instutions (banks & insurers),
    • Verifying responses to regulatory findings
    • Reviewing model documentation (methodology, implementation, …),
    • Validating and challenging catastrophic risk models,
    • Stress testing credit risk models, and
    • Assisting audit teams with portfolio valuation (xVA).

  • 2020, Feb – 2024, Apr: Machine Learning & Statistics Researcher, UGent (Bio-science Engineering).
    • Implementing and extending conformal prediction methods,
    • Implementing and benchmarking machine learning models for uncertainty quantification (in Python),
    • Statistical analysis of data sets, and
    • Presenting research at international conferences. All of this was part of the AI Flanders research project. Within this project, I worked on the following use cases:
    • Epileptic seizure detection: Construction of a multimodal seizure classifier that could incorporate side-information/contextual information and provide predictions with statistical guarantees.
    • Predictive maintenance: Construction of a tool for modelling the health of industrial assets, in particular, wind turbines. This involved the combination of time-series forecasting and uncertainty quantification.
    • Low voltage grid: Providing decision support for the distribution of power in the low voltage grid, taking into account the multitude of sensor data in production units (e.g. solar panels), consumption units (e.g. electric cars) and storage units (e.g. home batteries).

  • 2023: Co-organizer, WUML (2023).
    Organizing the “Workshop on Uncertainty in Machine Learning” in Ghent (https://sites.google.com/view/wuml2023/home).

  • 2022 – present: Webmaster & Co-founder, Tumaini Heart For Kids (vzw).
    Responsible for social media, website and general organization. (Website)

  • 2020 – 2022: Teaching Assistant, UGent.
    Assisting with computer labs for the course “Probabilistische modellen” (Second Bachelor Bioscience Engineering).

  • 2019: Tutorial Assistant, TENSOR19.
    Assisting with tutorials at the “European Tensor School 2019” in San Sebastian (http://tensor2019.dipc.org/).

  • 2019: Teaching Assistant, UGent.
    Assisting with labs for the course “Experimenteren in de Fysica en de Sterrenkunde 1” (First Bachelor Physics & Astronomy).

  • 2016 – 2020: Tutor, BijlesHuis.
    Tutoring high school students in physics and mathematics (or related subjects).

  • 2016 – 2019: PR Extern & Webmaster, Vereniging voor Natuurkunde.
    Responsible for maintaining the website and social media, and finding funding for the student society of the Physics & Astronomy department.

  • 2017 & 2018: Administrative Student Job, Vinçotte.
    Maintaining and restructuring databases, processing reports, etc.


Education

  • 2020 – 2024: Ph.D. in Machine Learning — Universiteit Gent, Ghent (Belgium).
    Thesis Title: A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning.
    Supervisors: Willem Waegeman and Bernard De Baets.
    Status: Obtained.

  • 2019 – 2020: Ph.D. in Theoretical Physics — Universiteit Gent, Ghent (Belgium).
    Thesis Title: Classifying and implementing manifestly symmetric matrix product states.
    Supervisors: Frank Verstraete.
    Status: Terminated.

  • 2017 – 2019: M.Sc. in Physics and Astronomy — Universiteit Gent, Ghent (Belgium).
    Thesis Title: Spatial symmetries and symmetry breaking with matrix product states.
    Supervisors: Frank Verstraete.
    Graduation grade: Magna Cum Laude.

  • 2014 – 2017: B.Sc. in Physics and Astronomy — Universiteit Gent, Ghent (Belgium).
    Graduantion Project: The cosmophone: An auditory representation of muon Trajectories.
    Supervisors: Dirk Ryckbosch.
    Graduation grade: Cum Laude.


Languages

  • Dutch: Native
  • English: Fluent
  • French: B2
  • Spanish: A2