speaker Details

ML Summit Summit 2020
26. - 28. Oktober 2020 | Online
Das große Trainingsevent für Machine Learning
& Data Science

Özge Sahin
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Özge Sahin


Özge is currently doing her doctorate in Mathematical Statistics at the Technical University of Munich (TUM). Her main research area is statistical learning with vine copulas. That’s the study of dependence analysis for clustering and classification algorithms. She studied formerly Industrial Engineering, specialized in System Dynamics, at Boğaziçi University, where the focus was to model causation relations. Later she studied Mathematics at the TUM and worked as a data scientist at SciScry, where she focused on developing machine learning and statistical models for forecasting and general data science applications.

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