(Vienna, 05 December 2025) Stathis Megas, a machine learning scientist, with a PhD background in pure mathematics and theoretical physics, starts this December as Tenure-track Assistant Professor (§99.5) in Machine Learning for Biomedicine. He will lead the research group on Mathematical Engineering with Genomics and AI (MEGA) at the Department of Medicine III at the Medical University of Vienna, and the MetAGE Cluster of Excellence.
Stathis Megas and his team are advancing the state-of-the-art in cell, tissue, and organ engineering and communication, using artificial intelligence (AI) and machine learning (ML). A special research focus is on the use of GenAI methods to simulate the effect of perturbations at the cell and tissue levels, leveraging dissociated and spatial genetic screens, multi-covariate and multi-batch datasets, and 3D atlases of human organs.
Stathis Megas specialised on searches for supersymmetric particles at CERN and the University of Athens, and then completed his PhD in topological quantum gravity and topological quantum field theory at UCLA. He subsequently joined EMBL-EBI, the Wellcome Sanger Institute, and the University of Cambridge as a postdoctoral fellow in the Accelerate Science program funded by Schmidt Sciences.