Research

Areas of research / recent research interests.

• Statistical optimal transport: development of estimators based on optimal or approximate versions (e.g. entropic optimal transport, rectified transport) of the transport problem and study of their theoretical properties (e.g. rates of convergence). Applications to robust statistics, (high-dimensional) clustering, etc.
• Development of models for conceptualizing pathology progression and their inference from cohorts of donors in Alzheimer’s Disease, and the study of the fundamental inferential limits of these models. In collaboration with the SEA-AD
• Meta-analysis, epidemiology: development methods for combining heterogeneous sources of data (such as biased and unbiased data) and the study of their statistical properties (e.g. risk analyses). Applications to COVID-19 epidemiology.
• Growing interest in genomics, spatial transcriptomics.

Broader perspective

This is a pictorial representation of my research, as described on the main page (I asked by DALL-E to generate it based on the text). It features the Vitruvian man. I wanted to represent my belief that as statisticians, we should aspire to the ideal of universality, as the tools we develop can be applied in all sciences. (Note that I am deviating a bit from the mainstream understanding of the Vitruvian man as the epitome of the high Renaissance, representing the harmony of the body.)