Lecturer in Machine Learning
School of Mathematics,
University of Edinburgh,
James Clerk Maxwell Building,
Peter Guthrie Tait Road,
Edinburgh, EH9 3FD, UK
Research interests: Statistical learning, Statistical methodology, Bayesian statistics, Bayesian neural networks, High-dimensional statistics, Markov chain Monte Carlo, Particle filtering, Reinforcement learning, Stochastic control, Function space sampling methods
Please get in touch via email if you are interested in doing a PhD with me.
- Torben Sell, Thomas B. Berrett, Timothy I. Cannings, "Nonparametric classification with missing data", submitted, arXiv preprint.
- Torben Sell, Sumeetpal S Singh, "Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC", Journal of the Royal Statistical Society Series B: Statistical Methodology, open access article.
- Chiara Toschi, Mona El-Sayed Hervig, Thiago Burghi, Torben Sell, Parisa Moazen, Li Huang, Ulrik Gether, Trevor W Robbins, Jeffrey W Dalley "Dissociating reward sensitivity and negative urgency effects on impulsivity in the 5-choice serial reaction time task", Brain and Neuroscience Advances, 2022, open access article.
- Jacob Vorstrup Goldman*, Torben Sell*, Sumeetpal S Singh, "Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors", Journal of the American Statistical Association, 2021, open access article. *equal contributions
- Torben Sell, "Advanced Bayesian Monte Carlo Methods for Inference and Control", PhD Thesis, 2021, pdf in the University of Cambridge repository.
- Torben Sell, "MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster", Essay for Part III of the Mathematical Tripos, pdf.
- Torben Sell, "A Convergence Analysis for Preconditioned Gradient Type Eigensolvers", Thesis for Bachelor of Science, pdf.
I taught the following courses:
- 2021-2022 - Lecturing and tutoring part of the Facets of Mathematics course at the University of Edinburgh
- 2017-2020 - Supervisor for Part II Topics in Analysis and Part II Numerical Analysis at the University of Cambridge
- 2014-2016 - Tutor for Analysis I and II at the University of Rostock
I love sailing and wrote a (hopefully) entertaining logbook entry about the first half of my summer sails 2022.