I am currently involved in several research communities, some of them below
- coordinator of the ‘Artificial intelligence and machine learning’ and ‘Coronavirus : immunity research’ communities
Research
« Convergence dynamics of Generative Adversarial Networks: the dual metric flows » at the CADL workshop (ICPR 2020 conference)
This is a talk presented at the CADL (Computational Aspects of Deep Learning) workshop held during the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021) 
Talk materials:
Stochastic Runge-Kutta methods and adaptive SGD-G2 stochastic gradient descent: talk at the ICPR 2020 conference
This is a talk on a joint work with Imen Ayadi presented at the 25th ICPR conference (held virtually in Milano, IT, Jan 10-15 2021)
Talk materials: 
Youtube Video of the presentation and 
the slides of the presentation.
Report on generative models (GAN, VAE, …)
Read the report here (in French) « Deepfakes & Algorithmes: Menace ou Opportunité ? »
Generative models (GANs, VAE, etc.) are used in machine (deep) learning, to generate new data; this is the imaginative side of artificial intelligence.
Conférence MEDSCIF sur les vaccins, oct 2020
Vaccination et COVID-19: conférence (online) MEDSCIF, courte introduction. TRANSPARENTS ICI
Ecole Polytechnique, M2 Math Bio oct 2020
Talk on the mathematical modeling of coronaviruses and current COVID-19 pandemic at the « Math and Biology » Master @ Ecole Polytechnique 
(France).
« High order schemes for gradient flows and vaccination mean field games », seminaire LJLL, Jan 2017
This is a talk at the « Laboratoire Jacques Louis Lions » in Paris in february 2017: the slides of the presentation (ask me for the videos).