The desire to learn drives my passion as a Data Science professional in Drug Discovery, Healthcare & Supply Chain • Quantitative modeler and Data science Leader with 8+ years of industrial experience post PhD • Passionate leader with a proven track record in driving excellence within MEIO, specialising in the development, application of Knowledge Graphs for E2E supply chain transformations • Implementing strategies to address the challenges of plastic tax regulations in Pharma supply chain using rdfs • Experienced in mathematical modeling of complex physiological systems (QSP & PK/PD) and AI/ML and statistical analysis to facilitate decision making during drug discovery & development. • In-depth understanding of deep learning, Monte-Carlo tree search, Bayesian optimization, genetic, multi-task, and reinforcement learning algorithms. as well as cloud-based infrastructure • Experience in both development and discovery (lead-optimization, candidate selection, IND) DMPK & ADME areas, Modelling & Simulation in a preclinical/Clinical and translational Biology • Working knowledge of overall drug development process in diverse therapeutic areas (oncology, anti-inflammatory, PROTACS) • Strong communication, leadership, and matrix management skills • Experience in Multi-omics profiling, Computer vision and generative models