About#

I am a final-year Bachelor’s student in Computer Science at the University of Amsterdam, with a strong interest in Quantitative Research and Risk-focused roles in finance.

Alongside my degree, I am strengthening my mathematical and statistical foundation through:

• 🎓 Mathematics minor at UvA
• 📘 Certificate in Quantitative Finance (CQF)
• 📚MITx MicroMasters in Statistics and Data Science.

My academic focus lies at the intersection of machine learning, probability, optimization, and market microstructure.

I am currently completing my bachelor thesis on Risk-Sensitive Multi-Agent Reinforcement Learning for Market Making, implemented in JaxMARL-HFT. This work explores decision-making under uncertainty, risk-aware objectives, and multi-agent dynamics in high-frequency trading environments.

I am particularly motivated by problems involving uncertainty, information, and incentives, and I aim to pursue a career in quantitative research, trading, or risk management, where rigorous modeling and real-world impact meet.