Mátyás Schubert
Mátyás Schubert

I am a PhD candidate at the Amsterdam Machine Learning Lab at the University of Amsterdam, under the supervision of Sara Magliacane. 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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