MSc in Applied Mathematics from ETH Zürich. He conducted his thesis on invariant Bayesian neural network architectures. Nikos possesses extensive experience in both industry and research as a Machine Learning Engineer, specializing in Natural Language Processing (NLP) and the application of deep learning in the biopharmaceutical domain. He is particularly interested in Reinforcement Learning, Statistical and Probabilistic Learning, as well as in Computer Vision