Education
PhD in Machine Learning
Nov 2023 - TBD
Subject: Weight-based interpretability
Advisor: Jose M. Oramas
Master in Artificial Intelligence
Sep 2021 - Jun 2023
Grade: Summa cum laude (87%)
Honours Programme in Science
Sep 2019 - Aug 2021
Grade: Summa cum laude (85%)
Bachelor of Computer Science
Sep 2018 - Jun 2021
Grade: Magna cum laude (83%)
Work Experience
MATS Program
May 2024 - Sep 2024
Mechanistic interpretability stream under Neel Nanda and Lee Sharkey. Improved SAEs by adding a token-specific lookup table and worked on a new interpretability method for bilinear MLPs.
Cuberdon Software Solutions
Jul 2022 - Sep 2022
Involved with the groundwork for a next-generation customer portal. Full-stack development with Vue and ASP.NET.
Keysight Technologies
Sep 2021 - Jun 2022
Research project to analyse and predict the power consumption of embedded devices.
Antwerp University Hospital
Mar 2021 - Sep 2021
Internship linked to honours programme. Data measurement and analysis of food temperature for premature babies.
Languages
Dutch
Native
English
Strong Proficiency
French
Bilingual
Spanish
Basic
German
Basic
Hobbies
Programming
6 years
4 years
3 years
1 year
Traits
Frameworks
Frontend
Backend
Deep Learning
Interpretability
Visualisation
Misc
Awards
6-time top 100 in Flemish Math Olympiad (2010 - 2018)
4-time semi-finalist in Flemish science olympiads (2016 - 2018)
2nd place on collaborative math olympiad: Wiskunnend Wiske (2018)
3rd place in the Belgian cyber security challenge (2023)