Jeremie Coullon

Jeremie Coullon has a diverse work experience spanning multiple industries. Jeremie is currently working as a Machine Learning Engineer at Papercup since January 2023. Prior to this, they worked at Cervest as a Statistical Scientist from January 2022 to July 2022, and as a Research Resident from October 2021 to January 2022. Jeremie also worked as a Senior research associate in Bayesian Machine Learning at Lancaster University from August 2020 to September 2021, where they focused on scaling Bayesian inference to large datasets and contributed to open source Bayesian software. Before their academic work, Jeremie was a self-employed musician, working as a Jazz guitarist from September 2017 to August 2020.

Jeremie Coullon began their education journey in 2009 at Imperial College London, where they obtained a Bachelor of Science (BSc) degree in Mathematics in 2012. Following that, they pursued an MSc (Eng) degree in Transport Planning and Engineering at the University of Leeds from 2012 to 2013. Jeremie then went on to pursue a Doctor of Philosophy (Ph.D.) degree in computational statistics and traffic flow modelling at UCL from 2013 to 2019.