Hi! I am a postdoctoral scholar at the California Institute of Technology (Caltech) working on the intersection of machine learning and data assimilation, led by Prof. Andrew Stuart. Before this, I was a research fellow at the UCL Sustainability and Machine Learning group, led by Prof. Marc Deisenroth, where I worked on topics ranging from message passing algorithms for data assimilation to Gaussian processes with geometric/topological inductive biases. I received my PhD at Imperial College London under the supervision of Prof. Darryl Holm, where I wrote my dissertation on the mesmerising area of geometric mechanics. My thesis focussed on developing and analysing structure preserving stochastic fluid models and MCMC methods on Lie groups.

Outside of my academic activities, I am also a jazz saxophonist and used to gig around London from time to time. I’m excited to be in LA now and looking forward to play at some places here too.