# Onur Teymur

I am a post-doctoral researcher in the School of Mathematics, Statistics and Physics at Newcastle University, based full-time at the Alan Turing Institute in London.

I am interested in Bayesian statistical theory and, increasingly, in non-parametric Bayesian approaches.

I am also involved with the emerging field of probabilistic numerical methods.

### How are ya, champ?

Not so bad, thanks for asking.

### Three-line CV

I was previously at the Department of Mathematics at Imperial College London (2018-20), where I was also a postgraduate (2013-18).

### Some publications

1. Teymur, Gorham, Riabiz & Oates (2020)* Optimal quantisation of probability measures using Maximum Mean Discrepancy*; arXiv:2010.07064

2. Teymur & Filippi (2020)* A Bayesian nonparametric test for conditional independence*; Foundations of Data Science & arXiv:1910.11219

3. Teymur, Lie, Sullivan & Calderhead (2018)* Implicit probabilistic integrators for ODEs*; NeurIPS 2018 & arXiv:1805.07970

4. Teymur, Zygalakis & Calderhead (2016)* Probabilistic linear multistep methods*; NeurIPS 2016 & arXiv:1610.08417