Irene Balelli

WORK HISTORY

EDUCATION

SKILLS

ABOUT IRENE BALELLI

I am a research scientist (ISFP - Inria Starting Faculty Position) at Centre INRIA d’Université Côte d’Azur. I am a member of the EPIONE team (e-patient for e-medicine). I am interested in developing mathematical and statistical models for computational biomedicine. Current research interests include Bayesian learning, mechanistic modeling, population dynamics, in-silico trials and causal learning.I received my Ph.D. from Université Paris 13, Sorbonne Paris Cité in 2016, under the supervision of Vuk Milisic, Gilles Wainrib and Hatem Zaag. The title of my dissertation was Mathematical foundations of antibody affinity maturation. I have developed and studied a mathematical framework based on graphs, to model antibody affinity maturation of B-cells. I have investigated interactions between mutation, division and selection mecanisms, using probabilistic tools and numerical simulations. My Ph.D. project was embedded in the frame of Labex Inflamex.In January 2017 I have joined the SISTM team (INSERM U1219 Bordeaux Population Health and INRIA) as a postdoc. As part of the EBOVAC1 and EBOVAC2 European consortia, I focused on the mechanistic modeling of the immune response to a prime-boost vaccination strategy against Ebola virus, developed by Janssen (a Johnson & Johnson company).In February 2020 I have finally 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.