# Benjamin Stokell

Statistical Laboratory

University of Cambridge

Wilberforce Road

Cambridge

CB3 0WB

Office: FL.03

Tel: +44 1223 337857

## About

I am a PhD student in the Statistical Laboratory within the Department of Pure Maths and Mathematical Statistics at the University of Cambridge, supervised by Rajen Shah. I am a member of the Cantab Capital Institute for the Mathematics of Information as well as Gonville and Caius College, which is where I completed my undergraduate studies. My CV can be found here.

## Research

My research interests are centred around methodology for high-dimensional statistics and large-scale data analysis. In particular, I am currently interested in theoretical and computational aspects of estimators and algorithms under sparse structural assumptions.

Applications I am interested in include medicine and volcanology; I also help out at the Statistics Clinic.

## Publications and preprints

**Stokell, B. G.**, Shah, R. D., Tibshirani, R. J. (2020) Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties. *Preprint.* (.pdf) Software: CatReg.

- Harman, J. L., Dobkinar, L., Chappell, J.,
**Stokell, B. G.**, Dalby, A., Foote, K., Finigan, A., Freire-Pritchett, P., Taylor, A. L., Worssam, M. D., Madsen, R. R., Loche, E., Uryga, A., Bennett, M. R., Jørgensen, H. F. (2019) Epigenetic regulation of vascular smooth muscle cells by histone H3 lysine 9 dimethylation attenuates target gene-induction by inflammatory signaling. *Arter. Thromb. Vasc. Biol., to appear.*

- Ong, J., Swift, C.,
**Stokell, B. G.**, Lucarelli, P., Rouhani, F., Ong, S., Shankar, A., Al-Naeeb, Y. (2019) Bouveret's Syndrome: A systematic review of endoscopic intervention and a predictive tool to aid in the management of gallstones in the upper GI tract. *J. Clin. Gastroenterol., to appear.*

## Teaching

I have supervised Part IA Probability, Part IB Markov Chains and Part II Statistical Modelling. I have also led example classes for Part III Modern Statistical Methods.