معرفی
Adam Daniel Page is a full-time PhD student at the STOR-i Centre for Doctoral Training, Lancaster University, and an associate lecturer at the School of Mathematical Sciences. His research focuses on applying reinforcement learning algorithms to dynamic pricing problems with safety constraints.
- MRes in STOR-i (2022)
- MSci in Mathematics
His research integrates Reinforcement Learning, Dynamic Pricing, and Algorithmic Safety to optimize revenue management for perishable goods. Recent work includes Smooth Tabular Reinforcement Learning for Dynamic Pricing (2025) and Tabular Reinforcement Learning for Revenue Management Problems (2024).
Scientific Achievements:
- Runner Up Poster at 5th IMA-OR Conference (2025)
Adam collaborates with supervisors James Grant, Anna-Lena Sachs, and Chris Kirkbride within STOR-i's interdisciplinary research groups.
