Prof Vasily Demyanov of Institute of Petroleum Engineering, Heriot-Watt University (Edinburgh), lectures 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 machine learning and has published over 100 publications. His 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. Vasily Demyanov obtained the first degree in physics from Moscow State University (1994) and a PhD in physics and mathematics from Russian Academy of Sciences (1998) with a thesis on environmental data modelling with geostatistics and artificial neural networks. Prior to joining Heriot-Watt in 2003 he worked with the University of St. Andrews (2000-2002) and Nuclear Safety Institute, Moscow (1994-2000).