Sebastien Röcken is a 4th year PhD student in computational molecular dynamics at the chair of Multiscale Modeling of Fluid Materials (TUM). His work focuses on methodological advances in extending molecular dynamics with machine learning approaches. His recent work presents a method for coupling experimental and ab initio data to yield highly accurate machine learning potentials. Future interests include machine learning applications in developing drugs and sustainable materials. For contact, reach out at: s.roecken@tum.de