CV

Education

• MSc in Engineering Science: Computer Science, KU Leuven, 2017
• MSc in Artificial Intelligence, KU Leuven, 2019
• PhD in Biomedical Sciences and Engineering Science: Electrical Engineering, KU Leuven, 2023 (expected)

Work experience

• Summer 2018: R&D Engineer
  • Barco, Kortrijk, Belgium
  • Duties included: Working on the Jenkins pipeline for continuous integration. Handled the automatic generation of code coverage reports.
• October 2017 - February 2018: R&D Engineer
  • Televic (Rail division), Izegem, Belgium
  • Duties included: Developed the audio and video streaming software and the central control unit for CAF Civity trains in England.

Skills

• Programming
  • Python, Java, C/C++, R, Matlab, Fortran, Haskell, Prolog, Rust
• Machine learning:
  • On clinical data (patient information)
  • On wearable sensor data (ECG, EEG)
• Microsoft Office
• Windows/Linux

Publications

Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods

Verstraete K., Decroos T., Coussement B., Vannieuwenhoven N., Davis J. (2020) Analyzing Soccer Players’ Skill Ratings Over Time Using Tensor-Based Methods. In: Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Communications in Computer and Information Science, vol 1168. Springer, Cham. https://doi.org/10.1007/978-3-030-43887-6_17

Teaching

Probleemoplossen en ontwerpen, deel 3 (2019-now)

Service and leadership

• 2018-2020: Coach for CoderDojo
  • CoderDojo is a global volunteer-led community of free programming clubs for young people between 7 and 18. As a coach, I supported these children a few hours a month.
• 2018-2019: Personal buddy for international KU Leuven students
  • The Buddy Programme organised by KU Leuven helps international students integrate in Leuven by showing them around and organising activities.
• 2015-2017: Hallway responsible at a student residence from the KU Leuven
  • Keeping things in order, managing the budget and organising activities.