Data-driven strategies for fragment library design
Statistical inference of molecular-network properties
Machine learning with filters derived from random-matrix theory
Multiscale modelling of organic semiconductors and electronic devices
Develop, optimize, deploy machine-learning pipelines
Machine-learning library for molecular and materials modelling
Random-matrix frameworks for statistical modelling
Toolkit for charge- and energy-transport simulations
Monte-Carlo, molecular dynamics and a little bit of machine learning