My main research interests are in the broad area of Bayesian statistical machine learning aiming to build methods that combine the strengths of statistics and computation aspiring to answer scientific questions with real life impact. My research focuses on statistical network/graph modelling, Bayesian Nonparametrics, stochastic process modelling and deep generative models. I also enjoy working in other areas of deep learning, infectious disease modelling, Covid-19 research, branching processes.