About
I am a PhD student at the Amsterdam Machine Learning Lab (AMLab) supervised by Sara Magliacane and Max Welling. I am mainly interested in reinforcement learning methods that can discover and utilize causal information about their environment.
Publications
(2022).
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models.
arXiv preprint.
Timeline
PhD Candidate
University of Amsterdam
Currently, I am a PhD Candidate in causality-inspired ML/RL.
Teaching Assistant
University of Amsterdam
I was a teaching assistant for the Natural Language Processing 1 course. My responsibilities included running the lab sessions, and grading assignments and exams.
Master of Science
University of Amsterdam
I finished the Artificial Intelligence MSc programme where I got familiar with machine learning and causality. My thesis investigated long-term credit assignment in reinforcement learning.
Software Developer
Ericsson
As part of a continuous integration and continuous delivery team, my responsibilities included managing developer environments, test and build pipelines, and developing a deployment software for complex cloud-based applications.
Erasmus Exchange Student
Vrije Universiteit Amsterdam
Spent a semester as an Erasmus student at VU. I worked with students from all backgrounds ad used english in my studies and also in my everyday life during my whole stay.
Bachelor of Science
Eötvös Loránd University
I finished the Computer Science BSc programme where I specialized in software design and algorithm correctness. For my thesis project I developed an interactive GUI for the trace module of the BPF Compiler Collection.