Thomas is a Theoretical Physicist with a focus on numerical modelling of quantum transport in nanostructures and molecular electronics. He studied Physics at the TU Dresden and joined this chair in July 2012 for his Diploma thesis on 'Ab initio and transport models for graphene nanoribbons under mechanical stress and defects' in the group of Dmitry Ryndyk. He is currently finishing his PhD thesis on 'Computational Modelling for Planar Molecular Electronics'. His work is in cooperation with the International Max Planck Research School and the International Graduate School iEGSEMP: Korea with research stays at POSTECH (Korea), CEMES-CNRS (France) and UNIST (Korea). Since becoming interested in Machine Learning methods, he has been awarded a Data Science Fellowship at ASI Data Science in London. He has been working for easyJet to develop a dynamic pricing model for seat allocations by predicting the time-evolution of customer demand. He is now looking into applications of Machine Learning models for materials science.
last modified: 2018.12.04 Di
Prof. Dr. Gianaurelio Cuniberti
Institute for Materials Science
visitors and courier address:
01062 Dresden, Germany