I am a graduate from the Artificial Intelligence Master's programme at the University of Amsterdam. Over the years I have developed an interest in understanding the nature of intelligence, whether it be by learning about the human mind or by bringing complex behaviour in machines to life.
My passions revolve around science, technology, and philosophy. One of my favourite experiences in life is that of having my world-view changed after being exposed to new ideas. Through this website, I hope to inspire readers to learn more about these topics, the same way my peers and teachers inspire me.
- LinkedIn
- GitHub
- FaceBook
Projects
Exploration through curiosity in reinforcement learning
In my Master's thesis, I investigated different approaches to structuring an agent's abstract representation of the environment. Introducing structure based on temporal correlations allows for more intuitive exploration behaviour.
Investigating how state representations affect learning in reinforcement learning
I investigated this topic during my Bachelor's thesis, which later developed into a publication paper at ICAART 2019.
Improving brain vessel segmentation in stroke patients
During this internship, I managed to create an algorithm that generates realistic vessel structures. These can be used to create synthetic data that increases the amount of available training examples, and in turn, improve the performance of the trained algorithms. A whole discussion on this can be found on the paper I wrote on the topic.
Applying optimization techniques to the energy market
During this project, we worked on applying reinforcement learning algorithms to energy load balancing tasks. Our hopes are that developing such technologies will allow for more efficient markets.