Broadly, my research spans mathematics, mathematical data science and theory of computation. I view theory as a way of aiding understanding and as a means of developing new algorithmic solutions.

Monte Carlo methods, Bayesian statistics, inference for artificial neural networks and probabilistic programming are of topical interest to me. Biomedical applications in the areas of statistical genetics, systems biology and pharmaceutical engineering motivate some of my research questions.

Information about my professional trajectory can be found in my CV.