Background
Academic and research background in mathematics, statistics, photonics, and AI, forming the foundation for work in inverse modeling, uncertainty quantification, and biophotonic systems.
Education
Ph.D. in Photonic Data Science
Friedrich Schiller University Jena, Germany – 2022
M.Sc. in Analysis & Probability for PDEs
Saint-Joseph University, Lebanon – 2016
M.Sc. in Statistics for Finance & Insurance
Le Cnam, France / Lebanon – 2013
B.Sc. in Pure Mathematics
Lebanese University, Lebanon – 2008
Research Experience
Independent Researcher, AI for Biophotonics
Germany, 2024-Present
Postdoctoral Researcher, AI for Biomedical Imaging
German Cancer Research Center (DKFZ), Heidelberg, 2023-2024
Postdoctoral Researcher, Computational Biophotonics
Friedrich Schiller University, Jena, 2022-2023
Doctoral Researcher, AI for Biophotonics
Friedrich Schiller University, Jena, 2017-2022
Research Focus
Current work focuses on inverse problems, uncertainty quantification, and AI-driven modeling for biophotonic systems, combining physical modeling with machine learning.