Dr James Grant
Lecturer in StatisticsProfile
I have been a Lecturer in Statistics since 2021, before this I worked as a Research Associate on the project in partnership with BT, and completed my PhD in 2019 through the STOR-i Centre for Doctoral Training.
Research Interests
My research considers bandit learning and reinforcement learning - processes in which algorithms learn to take optimal decisions by repeating a process of making a decision, observing data, and updating their model to make better decisions in the future. I am especially interested in settings where the data in question or the model updating processes are complex. My work considers the design and analysis of these algorithms, ensuring methods exist to converge to optimal decisions quickly and reliably. A key feature of my research is collaboration with and inspiration from industry. I am always open to discussing the prospect of new collaborations in theoretical or applied areas.
Web Links
Some further details are available on my personal webpage:
01/11/2023 → 31/08/2024
Research
01/11/2023 → 15/03/2024
Research
01/11/2023 → 15/03/2024
Research
01/10/2023 → 30/09/2027
Research
Statistical Artificial Intelligence, STOR-i Centre for Doctoral Training
Statistical Artificial Intelligence
Statistical Artificial Intelligence, STOR-i Centre for Doctoral Training
Statistical Artificial Intelligence, STOR-i Centre for Doctoral Training
Centre for Marketing Analytics & Forecasting, Statistical Artificial Intelligence, STOR-i Centre for Doctoral Training
- Statistical Artificial Intelligence
- STOR-i Centre for Doctoral Training