I'm passionate about mathematics and how it connects to real life. I am working as a fellow in the statistics section, mathematics department with both research and teaching activities since May 2018.
My research areas include biostatistics, metabolomics, genomics, data integration, bayesian and bayesian nonparametric inference.
My teaching activities mainly comprise teaching Graphical Models (MSc in statistics) and Mathematical and Statistical Modelling (MSc in Environmental engineering and hydrology) amongst other teaching duties.
In my PhD, I looked into complex models for integration of different omics data types under the supervison of Prof Korbinian Strimmer, Dr Tim Ebbels and Prof Robert Glen.
Before coming to the UK, I worked on parallelizing mathematical models in thermohydraulics of nuclear reactors. I also hold an MSc and MEng degree in Applied Mathematics from the french Grande Ecole ENSIMAG.
Jendoubi T, Strimmer K, 2019, A whitening approach to probabilistic canonical correlation analysis for omics data integration, Bmc Bioinformatics, Vol:20, ISSN:1471-2105
Jendoubi T, Ebbels TMD, Integrative analysis of time course metabolic data and biomarker discovery, AMLICD workshop NIPS 2017
Jendoubi T, Bergeaud V, Geay A, 2014, Comparison of some parallelisation strategies of thermalhydraulics codes on GPUs, Joint 8th International Conference on Supercomputing in Nuclear Applications (SNA) / 4th Monte Carlo Meeting (MC), E D P SCIENCES