Emma V. M. Landry

I am a fourth year PhD candidate in Biostatistics at UCLA, working with Donatello Telesca. Prior to joining UCLA, I obtained my integrated masters in Mathematics from Imperial College London, where I completed a thesis under the supervision of Seth Flaxman.

My research focuses on Bayesian methods in functional data analysis, motivated by applications to neuroscience. My goal is to develop robust methodology for non-Euclidean data, in particular for density-valued observations.