Alexander Buchholz, PhD

Postdoctoral Research Associate
Biostatistics Unit | Medical Research Council | University of Cambridge

About me

I'm a Postdoctoral Research Associate in the Biostatistics Unit of the Medical Research Council at the University of Cambridge, working with Sylvia Richardson. I completed a PhD in applied mathematics at the Center for research in economics and statistics (CREST), Paris supervised by Nicolas Chopin. The topic was on high dimensional Bayesian computation, with a focus on improving Monte Carlo simulations for models with numerous parameters to be inferred. From October 2017 to April 2018 I visited Pierre E. Jacob at the Department of Statistics at Harvard University. I did my graduate studies in economics, mathematics and statistics under the double degree program of Humboldt University Berlin and ENSAE ParisTech. My research has applications in statistics and machine learning. Below you can find a list of past and current projects.

My research interest lies in Monte Carlo methods and approximate inference in general and in particular Hamiltonian Monte Carlo, sequential Monte Carlo, quasi Monte Carlo, approximate Bayesian computation and variational inference. As a postdoc I am interested in computational methods for Bayesian inference in genomics.


I've had the pleasure of assisting in teaching several courses (i.e. teaching the tutorials), here are some.

I entirely held the following classes (lecture + tutorial):


Working Papers




Invited Presentations

Research Presentations

Poster Presentations