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Dr Jeremias Knoblauch

PositionAssociate Professor
Phone (external)+44(0)20 3108 2260
Phone (internal)52260
Email (@ucl.ac.uk)j.knoblauch
ThemesComputational Statistics,ÌýGeneral Theory and Methodology,
Personal webpage

Biographical Details

I am currently an Associate Professor at ¹û¶³Ó°Ôºâ€™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 .

Prior to ¹û¶³Ó°Ôº, 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

Publications can be found .