Emma Landry

PhD Candidate, Biostatistics

University of California, Los Angeles
Research Advisor(s): Donatello Telesca
Cohort: Fall 2021
Email:

Education:

MSci in Mathematics, 2021
Imperial College London — London, United Kingdom

Bio:

In my dissertation, I focus on functional data analysis, analysis of non-Euclidean objects, and Bayesian methodology, which I apply to the study of neuroimaging signals. I also have research interests in covariate shift methodology and transportability of machine learning predictions. In my free time, I enjoy bouldering, playing tennis and beach volleyball, and traveling.