Amr’s scientific background spans biotechnology, nanotechnology, and data science. After earning his M.Sc. in Pharmaceutical Biotechnology from Martin Luther University Halle-Wittenberg, he spent two years at Fraunhofer IZI developing DNA-based platforms for antiviral research. His doctoral work at the University of Potsdam focused on DNA origami nanostructures for single-molecule detection, combining nanofabrication with advanced spectroscopy. More recently, he completed intensive training in data analytics, adding Python, SQL, and machine learning to his toolkit.

In his current role at the Berlin University of Applied Sciences and Technology (BHT), Amr bridges wet lab experimentation with computational approaches, developing machine learning tools for analyzing bacterial microscopy data in the context of antimicrobial resistance. His work aims to accelerate the identification and characterization of resistant bacterial strains through automated image analysis.