Stephen Coleman received his PhD in Biostatistics from the University of Cambridge where he studied Bayesian methods for uncovering latent structure in assay data. He has developed novel computational methods for more robust inference, with an emphasis on data generated across multiple batches and multi-omics data. At CEDAR, Stephen hopes to bring this background to bear in the creation of new tools for principled analysis of single cell data, with a particular emphasis on methylation data.