Statistical Science


Dr Jeremias Knoblauch

PositionBiometrika Fellow
Phone (external)+44(0)20 3108 2260
Phone (internal)52260
Email (@ucl.ac.uk)j.knoblauch
ThemesComputational StatisticsGeneral Theory and Methodology,
Personal webpagehttps://jeremiasknoblauch.github.io/

Biographical Details

I am currently a Biometrika Research Fellow at UCL’s Department of Statistical Science. In July, I will take up an appointment at Assistant Professor/Lecturer at the department, as well as a 3-year EPSRC research fellowship to continue my work on Optimisation-centric Generalisations of Bayesian Inference. I am also a visiting researcher at the Alan Turing Institute’s Data-Centric Engineering Programme.

My research revolves around extending the paradigm of Bayesian inference to cope with the challenges posed by modern large-scale data, simulator models, and machine learning techniques. In this context, I am particularly interested in generalised Bayesian inference, model misspecification and robustification strategies, computational challenges involving intractability, and variational methods. If you would like to learn more about my research, I have summarised some of my key contributions in the following talk.

Prior to UCL, I was a doctoral candidate within the Oxford-Warwick Statistics programme (2016-2022) as well as the first UK-based Facebook Fellow (2020/2021). During that time, I also worked with the research arms of Amazon (2019) and DeepMind (2021). I remain eager to stay in close contact with industry, and am very open to being approached by potential industrial partners for both academic and non-academic work.


Publications can be found here.