Arthur brings 10 years of experience in computational methods for drug discovery and toxicology projects, focusing on machine and deep learning methods for quantitative structure-activity relationships (QSAR) and molecular modelling. He was awarded the Young Researcher Lush Prize in 2022 for developing an animal-free testing integrative computational workflow that incorporates multi-omics data, benchmark dose (BMD) modelling, physiologically based pharmacokinetics (PBPK) modelling, and in vitro to in vivo extrapolation (IVIVE) calculations. Arthur obtained a BSc in Pharmacy, an MSc in Pharmaceutical Sciences, and a PhD in Computational Toxicology from the Federal University of Goias (Brazil)