I completed my MSc in Statistics at the University of Warwick, after which I stayed for a year at the department as a Tutor. During that time I worked closely with Dr Ritabrata Dutta on Bayesian likelihood-free inference methods. I am interested in Scientific Machine Learning generally, but specifically in the area of simulation-based inference/likelihood-free inference. In many scientific settings, complex models are often computational in nature or more broadly have likelihoods which are intractable. This setup necessitates alternate methodological approaches, and my research revolves around around establishing well-founded and robust methodology that can scale to the large dimensional setting. My supervisors are Professor Mark Beaumont and Dr Song Liu, where I will be working on such problems through the lens of generative modelling and Statistical Discrepancies.
You can find more about me on my personal website here: https://khoo.dev