Michael Hanna holds a Bachelor's and Master’s degree in Biomedical Engineering and Systems from Cairo University. He later joined TU Dresden to pursue a second Master’s in Computational Modeling and Simulation, focusing on computational life sciences.

Alongside his studies, he works at the Max Planck Institute of Molecular Cell Biology and Genetics (Zerial Lab), contributing to image-based analysis in cell biology. His previous research includes generating synthetic data for robotic surgery DL models at the German Cancer Research Center (DKFZ) and modeling and simulating fibrosis in the liver at Nile University.

Currently, at the Chair of Materials Science and Nanotechnology and under the supervision of Dr. Leonardo Medrano Sandonas, Michael is conducting a research project focused on optimizing diffusion model predictions for drug-like molecule generation.

His academic interests include drug design, physics-guided machine learning, image-based analysis, and model interpretability and explainability.