Susana Tomasio holds a PhD in Computational Chemistry from the University of Warwick, where she gained experience in molecular simulation. Her skills in molecular modelling were developed further by pursuing two post-docs at the University of Southampton and University of Cambridge. Susana’s first experience in a Software Company was at Cresset, where she gained experience in ligand-based drug design and QSAR analysis. While at Prometic, Susana worked in a multidisciplinary environment, guiding and helping experimentalists in the design of ligand libraries. Susana is now a Senior Application Scientist at CDD, providing training and technical support for CDD Vault users in industry and academia and working drug discovery projects throughout the CDD customer base.
In today's data-driven drug discovery landscape, AI and deep learning are transforming how researchers manage, analyze, and interpret complex biological and chemical data. CDD Vault provides an integrated, secure platform for storing and analyzing data, empowering teams in drug discovery, cheminformatics, and computational chemistry.This talk will explore how CDD Vault enhances data workflows through intuitive visualization, advanced analytics, and AI-driven deep learning models for molecular property predictions, structure-activity relationships, and pattern recognition in large datasets. It will also highlight how the platform fosters collaborative research and reproducibility, enabling seamless data sharing across academic institutions, CROs, and industry partners.
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