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Mátyás Schubert

I am an ELLIS Ph.D. candidate at the Amsterdam Machine Learning Lab, jointly supervised by Sara Magliacane at the University of Amsterdam and Ricardo Silva at University College London. My research focuses on causal machine learning, with a particular interest in discovering and leveraging causal information efficiently. I am passionate about creating systems that solve problems and strive for software craftsmanship when implementing them.

Previously, I received my bachelor's degree in computer science at the Eötvös Loránd University and then worked as a software developer at Ericsson. Afterwards, I completed a master's in AI at the University of Amsterdam, during which I was an intern at the Qualcomm-UvA Lab for my thesis.

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