Summary
Alexandros Keros is a research fellow and computational topologist with 12 years of experience applying geometry, topology and machine learning to problems across materials discovery, spatial proteomics and graphics. He holds a PhD in Computational Topology from the University of Edinburgh and has transitioned academic insight into applied research roles at Edinburgh, Helmholtz Munich and industry labs including Adobe. Currently leading research in Materials Discovery for Electronics at APRIL AI Hub, he combines theoretical work in stochastic and computational topology with hands-on algorithm development and geometry processing. His background spans teaching and mentorship in algorithms and graphics, plus earlier industry experience in web development and applied IT consulting, giving him a pragmatic systems mindset. Notably, he has collaborated on spatial protein analysis and large-scale geometry processing projects during visiting and internship stints, showing an ability to pivot theory into domain-specific solutions. Based in Edinburgh, he brings deep mathematical rigor together with practical implementation skills to tackle interdisciplinary data-driven challenges.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Topology, Doctor of Philosophy - PhD, Computational Topology at The University of Edinburgh
5 year Diploma, Electronic and Computer Engineering, 5 year Diploma, Electronic and Computer Engineering at Technical University of Crete / Πολυτεχνείο Κρήτης
English, Greek, German