Zoltan Szabo is a Professor of Data Science in the Department of Statistics at LSE. His research focuses on statistical machine learning, specifically kernel methods, information theory, and scalable computation. He holds a PhD from Eötvös Loránd University and actively contributes to the machine learning community through organizing seminars and mentoring.
He is the creator of "ITE in Python, " a software package for information theoretical estimators. This open-source tool is a direct application of his core research and is used by other academics.
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