Hi! I'm a final-year PhD student in Computational Statistics and Data Science at the Univerisity of Bristol where I focus on combining generative models (VAEs, GANs and Normalizing Flows) with scalable sampling methods (MCMC and SMC samplers) to perform likelihood-free inference in large and complex big data applications. One of my main applications is population genetics, but my methods can be applied in ecology, astronomy, economics, biology and physics. I have developed the first family of algorithms for Approximate Manifold Sampling.
On my website you can read:
- Machine Learning posts
- Industry Collaborations during my PhD (e.g. with Wessex Water, EcoPowerSoft).
- Talks
- Short Computational Statistics Courses I have written.
- Coding Portfolio