Regular biography
Dr Ciara M Pike-Burke is an Associate Professor in Statistics at the Department of Mathematics, Imperial College London. Her research focuses on statistical methodologies and their applications. Dr Pike-Burke's work contributes to the advancement of statistical science through rigorous analysis and innovative approaches. She is affiliated with the university's mathematics department and maintains an online profile at https://profiles.imperial.ac.uk/c.pike-burke.
Scholar-generated biography
Ciara Pike-Burke is a researcher at Imperial College London focusing on reinforcement learning and bandit problems. Her work explores delayed feedback, optimism in episodic reinforcement learning, and regret minimization in reinforcement learning. She investigates multi-objective optimization, local differential privacy, and sample efficiency in hierarchical reinforcement learning. Her research also addresses the stochastic knapsack problem, exact policy mirror descent, and fair reward design. Additionally, she studies kernel bandits, active learning for quantum measurements, and change point identification in piecewise constant bandits. Her contributions emphasize theoretical guarantees and practical applications in sequential decision-making under uncertainty.