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Mátyás Schubert

I am a fourth year ELLIS Ph.D. candidate at the Amsterdam Machine Learning Lab supervised by Sara Magliacane at the University of Amsterdam and co-supervised by Ricardo Silva at University College London. My research focuses on causal machine learning, with a particular interest in discovering causal relationships from data at scale and using them for downstream tasks such as causal inference. I am passionate about studying and building simple, principled systems that solve complex problems.

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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Publications

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Mátyás Schubert, Theofanis Aslanidis, Tom Claassen, Sara Magliacane.