Achille is a graduate Télécom Paris engineer since 2017. Notably, he specialized in data science at EURECOM from 2015 to 2017. In 2021, he received a PhD in computational mathematics from the Institut Polytechnique de Paris.
This industrial PhD (CIFRE) was supervised by François Desbouvries and Yohan Petetin, professors at Télécom SudParis (SAMOVAR), and Anne Bouillard and Marc-Olivier Buob, researchers at Nokia Bell Labs. During that time, Achille focused on alarm prediction in networks via space-time pattern matching and machine learning, aiming to provide experts with tools to understand how failures cascade across telecommunication networks.
In the CHI Lab, he currently develops interpretable AI tools to support clinical decisions in organ transplantation.
- Machine Learning
- Pattern matching
- Generative models
Explainable machine learning models for clinical decision support in kidney transplant offering:
The disparity between the size of the waiting list and the availability of donor kidneys means that clinicians often consider organs from suboptimal donors for transplantation. Such decisions can be challenging, and no decision support tools are currently available to help support clinicians and patients.
Therefore, this project aims to create a clinical decision support tool that will help a clinician and patient make a personalised decision about a given organ offer. Notably, a suite of interpretable algorithms will be developed to predict post-transplant graft and patient survival, as well as patient outcomes if an organ offer is declined.