Replay Irène’s presentation
Summary
In this talk I will discuss the need of questioning the “How?” and the “Why?” when building data assimilation methods and predictive models, especially in the medical context, for more interpretable and trustable algorithmic prescriptions. This will be the occasion to present and discuss some of my works, embedded in this philosophy.
Biography
I am a research scientist (ISFP – Inria Starting Faculty Position) at Centre INRIA d’Université Côte d’Azur, in the EPIONE team. I am interested in developing mathematical and statistical models for computational biomedicine. Current research interests include Bayesian learning, Mechanistic modeling, Federated learning, Population dynamics, In-silico trials and Causality.
Previous to that, I received my Ph.D. from Université Paris 13, Sorbonne Paris Cité in 2016, with a dissertation titled Mathematical foundations of antibody affinity maturation, where I focused on the development of a mathematical framework based on graphs, to model antibody affinity maturation of B-cells.
In 2017 I have joined the SISTM team (INSERM U1219 Bordeaux Population Health and INRIA) as a postdoc. As part of the EBOVAC European consortia, I focused on the mechanistic modeling of the immune response to a prime-boost vaccination strategy against Ebola virus, developed by Janssen.
In 2020 I have joined the EPIONE team at Centre Inria d’Université Côte d’Azur as a postdoc, where I got interested in the development of Bayesian learning methods in a federated setting, with a particular attention to health applications.
irene balleli
The presentation will be in English and streamed on BBB.
