Oleg Vlasovets

Oleg received his MSc degree in Data Science from a joint program of Aalto University and Eindhoven University of Technology. His master thesis is focused on detecting anomalies of industrial vessel performance with Bayesian and unsupervised statistical methods.

His research interests are oriented toward optimisation theory, statistical learning and network inference that can be applied in microbiology. In the BioDataScience Lab, Oleg works on causal inference of gut microbiome and cardiovascular diseases.

Oleg has work experience in industry and his BSc degree in Business Informatics from HSE University with minor on Data Mining from Yandex.

He also enjoys solving machine learning problems from the business domain, e.g., participating in hackathons and Kaggle competitions. If you don’t find him doing one the activities above, you will probably find him on a tennis court.