Xiaolu Liu
I am a first-year PhD student at the Mathematics for Real-World Systems Centre for Doctoral Training (MathSys II CDT). I am conducting my research under the supervision of Prof. Juergen Branke. My research focuses on Bayesian optimisation and Bayesian optimal experimental design.
PhD project: Calibration and Optimisation of biopharmaceutical processes
My research topics is generally concern the inverse modelling problem. Our research aims to develop new Bayesian Optimisation algorithms that have improvements over existing methods used in controlling biopharmaceutical manufacturing processes. The experiment is very expensive, and there are many factors that need to be tuned, and we expect our research can help them to explore potential methods to allow them to produce better control strategies and more accurate parameters whilst minimising the costs of the experiments. Currently we are breaking the steps and focus on the optimal experimental design for identifiability problem.
Education
(2023 - Present) University of Warwick MathSys II CDT : PhD Mathematics of Systems
(2022 - 2023) University of Warwick MathSys II CDT : MSc Mathematics of Systems (Distinction)
(2021 - 2022) London School of Economics : MSc Operations Research & Analytics (Distinction)
(2019 - 2021) University of Leeds : BSc Mathematics (First class)
Research Activities
- Poster Presentation at Future Target Healthcare Manufacturing Hub, London. Model Identification in Biopharmaceutical Manufacturing (May 2023)
- Presentation in Bayesian Optimisation reading group, Coventry. Active learning and Bayesian Optimisation for model selection (October 2023)
Teaching
- Graduate Teaching Assistant for CS416 Optimisation Methods (2023/24 - Term 2)
Email: xiaoluliu@warwick.ac.uk
Office: D1.13, Zeeman Building