Lucas Siu

I studied mathematics at Imperial College London where I also obtained my integrated masters. I became interested in the development of machine learning techniques from a statistical perspective during a research project at LSE, where I looked at implementing latent variable models and understanding complexities that arise when estimating parameters whose true value lies at the boundary of a parameter space.  My master’s thesis focused on using Gaussian Process approximations to estimate smooth contact intensities, with an overall aim to better understand HIV transmission patterns in Uganda. Moving forward, I am excited to broaden my knowledge with the wide range of modules at the program and look forward to my first mini-project looking at leveraging genetic diversity to enhance genomic predictions. In my spare time, I enjoy watching and playing sport and reading.