I am an Associate Professor in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge. I was previously Stein Fellow in the Department of Statistics at Stanford, where I did my PhD in the School of Medicine.
sb2116 at cam.ac.uk
Statistical Laboratory
Department of Pure Mathematics and
Mathematical Statistics
University of Cambridge
Centre for Mathematical Sciences D1.10
Research
I am a statistician specialising in Bayesian nonparametrics and algorithms for Bayesian inference. I am broadly interested in applications of Statistics and Machine Learning in structural biology, chemoinformatics, human microbiome studies, and the design of clinical trials. I have developed methods for the estimation of reversible time-series, with applications in the analysis of molecular dynamics simulations. I have also worked on Bayesian nonparametric models for compositional data in microbiome studies. More recently, I have been interested in applications of deep learning and language models in drug discovery, and in the study of remote homology of protein sequences.
I am a member of the Cambridge Centre for AI in Medicine and the Cantab Capital Institute for the Mathematics of Information.
Students
CurrentPast
- Sam Power (PhD 2020, now at University of Bristol)
- Annie Marsden (MPhil 2016, now at Stanford)
- Pierre Bodéré (Masters 2017, now at Yale)
Teaching
I have lectured the following courses at Cambridge. Course materials can be found on Moodle.
- Part IB Statistics
- Part II Statistical Modelling
- Part III Bayesian Modelling and Computation
- Part III Modern Statistical Methods