Currently Lecturer at CentraleSupélec BioMathCS, Paris-Saclay university within the Biomathematics team of the MICS laboratory, I defended my Ph.D under the supervision of Professor Christian Robert at Université Paris-Dauphine in March, 2016. Please see my CV my complete career path.

I'm a member of the Fédération de Mathématiques of CentraleSupélec FD .

            My research interests include :

• Bayesian analysis (model selection and prior modeling)

• Mixture distributions,  Generalized linear regression models and Gaussian process

• Computational statistics and MCMC methods

• Machine learning

• Bayesian PCA and automatically dimension reduction

• Neural Networks

         Applications and interdisciplinary projects :

•  Health and well-being : oncology 

• Environment : flood risk, plant growth model

   Projects :

          I'm participating in the following interdisciplinary projetcs :

• RadioPrediTool : Mathematical and computational modeling approaches to set up a personalized prediction tool of late iatrogenic effects of radiotherapy using voxel-scale dose distribution: Application to pediatric cancers ProjectInserm 

• ModLSys : A multi-scale modeling framework for living systems ProjectANR 

My other scientific activities :

• Member of MIMS consortium 

• I've recently joined the group Bayesian Statistics of the SFdS : BS_SFdS 

Contact information:

kaniav.kamary@centralesupelec.fr

CentraleSupélec, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France