Michael is an interdisciplinary PhD student in mathematical biology at the University of Southampton, co-based at the Institute for Life Sciences and the School of Mathematical Sciences. He is joining the Turing as an Enrichment student in January 2020.

Having obtained an MSci in genetics and systems biology (Cambridge, 2018), with a master’s project focused on using bioinformatics to understand early mammalian embryo development (Stem Cell Institute, Cambridge).

His PhD research is on developing mathematical models for understanding stem cell function. 

Research interests

The development and application of novel computational models for understanding single-cell RNA-sequencing data, to better leverage the power of these new technologies towards increasing our understanding of stem cell function. In this he draws from a diverse range of fields including topological data analysis, high-dimensional statistics, unsupervised clustering and information theory.