Mohamad Ghassany is a data science and IT leader with a decade of experience bridging academic research and applied machine learning in higher education. Currently managing Data Science & IT teams and heading the Data & AI program at EFREI, he combines hands-on PhD-level expertise in ML with program leadership to build curricula, research collaborations, and operational data capabilities. His background includes research engineering in Big Data and faculty roles at top French schools, reflecting a rare mix of teaching, research, and production-oriented projects. Comfortable translating complex algorithms into practical solutions, he often operates at the intersection of education, research, and applied data products. Based in Courbevoie, he brings deep statistical training from Grenoble and Paris institutions and a track record of mentoring the next generation of data practitioners.
10 years of coding experience
8 years of employment as a software developer
Master 1 Applied Mathematics & Statistics, Master 1 Applied Mathematics & Statistics at Lebanese University - Faculty of Sciences
Doctor of Philosophy (PhD), Computer Science, Machine Learning, Doctor of Philosophy (PhD), Computer Science, Machine Learning at Université Paris 13
Master's degree, Applied Mathematics & Statistics, Master's degree, Applied Mathematics & Statistics at Université Joseph Fourier (Grenoble I)
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