I am a 4th year mathematics student, on an 4-year integrated master’s, at Imperial College London specialising in statistics. I will be starting my PhD at Imperial College London, in the EPSRC CDT in Modern Statistics and Statistical Machine Learning at Imperial and Oxford, supervised by Ben Calderhead, Seth Flaxman and Maxime Rischard. In my 3rd year, I had the great opportunity of studying at École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland. I have strong interests in applied differential geometry, Bayesian statistics and extreme value theory. In particular, I like to spend my time thinking about its applications in environmental sciences and genetics. I am also currently working on Bayesian spatial extremes and crop modelling (cf my research page).
Technology has always been my passion, and I spend a lot of my free time learning programming languages for HPC & Deep Learning and working on side projects. I have interests in Bayesian statistics, MCMC methodologies, genomic and genetics studies, manifold learning, deep learning, extreme value statistics and geostatistics.
Furthermore, I am also co-organiser of the Imperial Mathematics Competition .
Feel free to reach out to me at