Vasily Demyanov is a Professor of geostatistics and leads industry and government funded research in Geo Data Science and uncertainty quantification for reservoir prediction modelling.  He has over 20 years of experience in geostatistics and has published over 100 publications.

Vasily’s research interests lie broadly across spatial statistics, machine learning and uncertainty. In particular, his research is focused on uncertainty quantification in prediction modelling, inverse modelling for history matching, stochastic optimisation, Bayesian inference, and the problem of integration of reservoir knowledge and relevant data into statistical modelling workflows with machine learning and data analytics approaches.