Master's in Computer Science
UCLouvain
Overview
Graduated with Distinction. I chose the unique combination of AI and Cybersecurity with a clear goal: to be able to build not just 'smart' systems, but enterprise-grade, GDPR-compliant, and sovereign AI solutions. In a world where data privacy is paramount, this dual expertise allows me to deploy AI that respects strict regulatory frameworks and security standards by design.
Coursework & Activities
- AI Specialization: Computational Linguistics (LINFO2263), Constraint Programming (LINFO2365), Mining Patterns (LINFO2364)
- Cybersecurity Specialization: Privacy Enhancing Tech (LELEC2770), Secured Systems Engineering (LINFO2144), Computer System Security (LINFO2347)
- Master Thesis (ILA): 'Clinical Document De-identification' under Prof. Sébastien Jodogne. (See ILA Project for details)
- Core Engineering: Cloud Computing (LINFO2145), Architecture & Performance (LINFO2241)
Key Achievements
✓ Achieved Distinction grade for the Master's degree
✓ Thesis on ILA (Clinical NER) directly addressed sovereign data privacy challenges
✓ Learned to conceive systems where Security is a foundational requirement, not an afterthought
✓ Bridged the gap between powerful LLMs and strict compliance requirements (RGPD)
What I Learned
Security must be integrated at the conception phase ('Security by Design')
How to build AI systems that are transparent, compliant, and production-ready
The critical importance of data sovereignty in modern European tech
Rigorous evaluation of ML models in safety-critical contexts
Quick Info
- Period
- 2022 - 2024
- Duration
- 2 years
- Role
- Graduate Student
- Location
- Louvain-la-Neuve, Belgium
- Program Website
- View Program
Skills Developed
Technologies
Type
Education