Welcome!

I am a PhD student working at the Paris Brain Institute in the Aramis team, supervised by Stanley Durrleman.

I study the modelling of neurodegenerative diseases. More specifically my research focusses on the heterogeneity of clinical progression profiles in Alzheimer's Disease. In other words, I try to formalize longitudinal models and notions of typical subtypes in the progression of the disease and devise methods to discover and understand them in a variety of clinical settings. New methods blending the clinical insights of longitudinal studies with the dense information of high-dimensional data such as genetic or imaging data are among my current interests. Ultimately I hope that some of those tools will find their way to clinical use and be useful for tasks such as performing early diagnosis or designing better clinical trials.

Here are some of the projects I partook in before starting my PhD.

Tractogram and Atlasing With Optimal Transport, Using Multiscale and Gpu-Friendly Schemes

I worked under the supervision of Pietro Gori at Telecom ParisTech on tractogram segmention, and atlas transfer using Optimal Transport tools. This was a joint work with Pierre Rousillon and Jean Feydy. See the dedicated page for some more details and results.

Optimal Transport, Network Distances and Geometry for Connectivity Networks

I studied and introduced new tools for the investigation of brain connectivity networks during an internship that I did in the Empenn team. See the report I wrote on this project, as part of my master degree.

High-Frequency Oscillations Detection

I studied the detection of High-Frequency Oscillations in electroencephalograms using modern methods in time-frequency analysis of signals. See the dedicated page soon, and the proof of concept detector. Here is a recent presentation (2022) that I did about this work.

You can also find some of the other work and projects that I did during my studies, either at the ENS or before.

With a rather more fun perspective, the page anecdote gathers some anecdotes that were generated by a gpt-2 model. They do not reflect any kind of truth, although they can sometimes be fun to read.

I also maintain a page gathering some LaTeX and TikZ tips, that is mostly intended to be a personal aide-mémoire, but it could be useful to others as well.