Position: Postdoctoral Research Assistant
Field of research: High-dimensional computational statistics
School of Mathematics,
University of Edinburgh,
James Clerk Maxwell Building,
Peter Guthrie Tait Road,
Edinburgh, EH9 3FD,
Research interests: Statistical methodology, Bayesian statistics, High-dimensional statistics, Statistical learning, Markov chain Monte Carlo, Piecewise deterministic Markov processes, Bayesian neural networks, Particle filtering, Stochastic control, Function space sampling methods
- 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", accepted by Brain and Neuroscience Advances, 2022
- Torben Sell, Sumeetpal S Singh, "Dimension-Robust Function Space MCMC With Neural Network Priors", under review, arXiv preprint available
- Jacob Vorstrup Goldman*, Torben Sell*, Sumeetpal S Singh, "Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors", 2021, published by the Journal of the American Statistical Association, arXiv preprint available. * denotes 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<\li>
- 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
In 2020 I co-organised the Mathematics of Data Science conference, and wrote a short lessons learned paragraph about it.
In the academic year 2018/2019 I was one of two directors of the Part III seminar series at the University of Cambridge.
I enjoy reviewing papers within my area of expertise.