Andreas Leitherer

Dr. Andreas Leitherer is a Postdoctoral Researcher in the Department of Quantum Information Theory at the Institute of Photonic Sciences (ICFO). He holds a PhD in Physics from Humboldt University (Germany). His research focuses on interdisciplinary areas combining quantum systems analysis, materials science, and machine learning applications in crystallography and microscopy.

Leitherer's work bridges theoretical quantum physics with computational methods, particularly in open quantum systems and algebraic quantum gravity. He also pioneers AI-driven approaches for automated crystal structure identification and materials characterization using electron microscopy. His publications since 2017 reflect a progression from foundational quantum gravity studies to applied machine learning in materials science.

His research interests include quantum dynamics, computational materials science, Bayesian deep learning for crystallography, and data-centric materials discovery. Notably, he has contributed to developing robust machine learning frameworks for feature classification in atomic resolution images and exploring materials dataspaces through hybrid learning models.

No scientific awards or formal student advisees are listed. His current research is affiliated with ICFO's Quantum Information Theory group, where he applies advanced computational techniques to solve problems at the intersection of quantum physics and materials innovation.