Vinicius Alves is a Principal Scientist II in San Diego with 11 years of experience applying cheminformatics, ML/AI and structure-based drug design to small-molecule discovery and toxicology. He has progressed from academic research—developing publicly available models and alternatives to animal testing—to industry leadership roles at Takeda and now Novartis, where he builds workflows in KNIME and Python to accelerate hit generation and lead optimization. His work spans druggability and PROTACability assessment, large-scale in vivo data analytics, and development of predictive toxicity tools that supported NIH-funded projects and a startup spinout. Vinicius combines deep academic rigor (PhD in Pharmaceutical Sciences) with hands-on deployment of production-ready computational pipelines and mentorship of students and scientists. Notably, he has translated novel cheminformatics methods into practical screening and interpretation tools used across therapeutic programs, reflecting both scientific creativity and product-focused execution.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Pharmaceutical Sciences, Doctor of Philosophy (PhD) Pharmaceutical Sciences at Universidade Federal de Goiás
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Vinicius Alves - Principal Scientist II at Novartis