Emma V. M. Landry

I am a fourth year PhD candidate in Biostatistics at UCLA, working with Donatello Telesca. My current research focuses on Bayesian methods in functional data analysis, particularly curve registration, with applications to neuroscience.

Prior to joining UCLA, I obtained my integrated masters in Mathematics from Imperial College London. My thesis, supervised by Seth Flaxman, analyzed the effects of Trump support and vaccine hesitancy on the SARS-CoV-2 time-varying reproduction number using a Bayesian semi-mechanistic model.