Email: j.grant [at]

Pronouns: he/him

Twitter: @james_a_grant

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Room B76
Postgraduate Statistics Centre
Lancaster University
Lancaster, UK

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I am a Lecturer in Statistics in the Department of Mathematics and Statistics at Lancaster University.

I am also a Co-Director of the MSc in Data Science at Lancaster, a member of the committee of the Young Statisticians section of the Royal Statistical Society, and an Associate Editor for the ACM Transcations on Probabilistic Machine Learning.

In 2019, I completed my PhD under the supervision of Professors David Leslie, Kevin Glazebrook, and Roberto Szechtman. Previously, I have worked as a Machine Learning Research Student at, and a Research Associate within the STOR-i Centre for Doctoral Training, and Department of Mathematics at Statistics at Lancaster. My full CV is available here.


My research considers online sequential decision making for problems with complex data structures. I am particularly interested in multi-armed bandits, online optimisation, and recommender systems. A key feature of this research is collaboration with and inspiration from industry. I am always open to discussing the prospect of new collaborations in theoretical or applied areas.



This year I am leading the module MATH330 Likelihood Inference, in weeks 1-5 of Michaelmas term. Current Lancaster students can find the MATH330 Moodle page here and access additional support via email, or office hours on Thursdays from 1200-1300 (appointments outside this time can be arranged on an individual basis).