The paper “Discovering Intrinsic Multi-Compartment Pharmacometric Models Using Physics Informed Neural Networks”, co-authored by Adam Nasim and Imran Nasim, has been accepted for presentation at SCML 2024. Adam is Associate Scientific Director (Merck) and Visiting Lecturer (Surrey), and Imran is an AI Engineer (IBM) and Visiting Lecturer (Surrey). The paper will be presented at the International conference on Scientific Computation and Machine Learning (SCML) to be held 19-23 March in Kyoto Japan. Unlike the more popular venues such as ICML and ICLR, SCML has a clear focus on Scientific Machine Learning (SciML). The significance of this conference series highlights how advancements in computational methods and machine learning techniques can be applied to solve complex scientific problems, ranging from physics and chemistry to biology and environmental sciences. SCML is quickly establishing itself as a leading venue within the SciML community. SCML 2024 will be held in the Kyoto Research Park and a screenshot of the KRP webpage is shown below.