Antonios Koufou
Author
Antonios Koufou is a Greek physical chemist and computational chemistry researcher whose work focuses on the application of molecular simulations, computational chemistry and machine learning to the study of complex molecular systems.
He holds a PhD focused on the study of physicochemical properties of chemical warfare agents through the combined use of molecular simulations and machine learning. His research has particularly examined nerve agents of the G-series, V-series and A-series (Novichok), using computational approaches to investigate molecular structure, thermodynamic and transport properties, molecular interactions and other physicochemical characteristics.
He has published research on the development and validation of molecular models for Novichok agents and on the use of molecular dynamics simulations to investigate their thermodynamic and transport properties. His work has also incorporated QSAR and machine-learning approaches to explore toxicological and physicochemical properties.
His broader scientific interests include molecular dynamics, computational chemistry, molecular physics, QSAR, machine learning and the use of computational methods to address problems that are difficult or challenging to investigate experimentally. His academic profile identifies dynamic simulation, molecular physics and computational chemistry among his principal areas of expertise.
Alongside his scientific work, Antonios Koufou has been involved in secondary and academic education in Greece, contributing to science education and the communication of chemistry and the natural sciences to younger audiences and young scientists.
His research sits at the intersection of chemistry, computation and emerging artificial-intelligence methods, with a particular interest in how computational science can improve our understanding of molecular threats and contribute to future approaches to chemical security.
