Adam Jelley

Adam Jelley

PhD Student in Deep Reinforcement Learning

University of Edinburgh

Bio

I’m a PhD student in the Bayesian and Neural Systems group at the University of Edinburgh, supervised by Professor Amos Storkey in the School of Informatics.

My research is focused on developing more sample efficient deep reinforcement learning algorithms to improve the performance of systems making automated decisions, supported by a Microsoft Research Scholarship.

Interests
  • Reinforcement Learning
  • Meta-Learning
  • Deep learning generalisation
Education
  • Currently Studying PhD in Sample Efficient Deep Reinforcement Learning, 2025 (Expected)

    University of Edinburgh

  • MSci in Theoretical Physics, 2016

    University of Cambridge

  • MA in Natural Sciences - Physics, 2015

    University of Cambridge

Experience

 
 
 
 
 
Dataiku
(Lead) Data Scientist
Apr 2019 – Apr 2021 London
Delivered and coached a range of client-facing and internal data science projects as a consultant. Promoted to lead UK and Northern Europe region’s data science team of 4-6 data scientists from July 2020.
 
 
 
 
 
Applied Predictive Technologies (now aquired by Mastercard)
Business Consultant
Aug 2016 – Oct 2017 London
Analysed and modelled trials of new initiatives to predict their wider impact. Presented recommendations back to clients to inform decisions.

Contact