Position: Lecturer in Statistics
Areas of expertise: Bayesian statistics; data science; factor models; latent variable models; learning from multiple data sources; Spatio-temporal methods; topic modelling.
Research interests: My aim is to develop and apply statistical methods for targeting important real-world applications in various research fields including life sciences, health, urban analytics and natural language processing (NLP). I have a strong focus on combining information from multiple data sources using Bayesian Spatio-temporal latent variable modelling. I have recently worked on data integration for omics data, combining text-based data sources and streams for providing more interpretable insights and Spatio-temporal crime analysis.