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Rik Voorhaar is a PhD student at the University of Geneva in the Faculty of Science, specifically in the Department of Mathematics. His research focuses on numerical analysis and tensor networks, contributing to the field of data science. He has expertise in machine learning, having extensive experience with frameworks such as Scikit-learn, TensorFlow/Keras, XGBoost, and PyTorch. Additionally, Rik is proficient in Python coding, numerical linear algebra, and optimization, showcasing a broad skill set essential for data science. He enjoys collaborating on coding projects in the numerical domain and is passionate about the scientific process. He teaches Probability and Statistics for Computer Scientists, sharing his knowledge and skills with students at the university. Rik also expresses a keen interest in machine learning applications and is enthusiastic about advancing his research in this area.
Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.