I am a PhD student in the Department of Chemical Engineering at Imperial College London, where I am a member of the Matar Fluids Group under the supervision of Professor Omar K. Matar. My research lies at the intersection of machine learning and computational fluid dynamics, with a focus on developing fast, physically grounded models for complex fluid flows. In particular, I work on single- and two-phase flow modelling, especially problems involving interfacial dynamics, spray formation, and complex geometries, and I am interested in combining ideas from scientific machine learning, operator learning, and surrogate modelling with the structure of classical numerical methods.

Prior research includes physics-inspired computing with Professor Natalia Berloff’s Quantum Fluids Group in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, machine learning with Dr Brieuc Lehmann at the UCL Institute of Mathematical and Statistical Sciences, and research at CMAC on implementing continuous, closed-loop crystallisation screening platforms.