Emma V. M. Landry

I am a postdoctoral research fellow in the Department of Oncology, Division of Quantitative of Sciences and the Department of Biostatistics at Johns Hopkins University, where I work with Zheyu Wang and Brian Caffo. My current research focuses on the development of methodologies for utilizing high dimensional biomarker data in the early diagnosis of Alzheimer’s disease.

Broadly, my interests include Bayesian statistics, functional data analysis, analysis of complex non-Euclidean biomedical object data, applications to neuroimaging. I have also been interested in problems related to domain adaptation, transportability of Bayesian machine learning models, precision cancer medicine.

I obtained my PhD in Biostatistics at UCLA under the supervision of Donatello Telesca. Before that, I got my integrated masters in Mathematics from Imperial College London, where I worked with Seth Flaxman.

I am currently the Secretary of the Junior Section of the International Society for Bayesian Analysis (j-ISBA).