Summary
Vinicius De Souza is a data scientist with 11 years of experience applying machine learning and big-data engineering to healthcare and public-sector challenges, currently based in Cambridge and working at EMBL-EBI. He holds an MSc from the University of São Paulo in Medical Sciences/Biomathematics and has blended research at InCor USP with production deployments, integrating molecular and clinical data to improve cardiovascular risk prediction. Vinicius has deep experience with SQL/NoSQL, Kibana, ElasticSearch and interactive dashboards, and has taken predictive models from prototype to scale—most notably a Microsoft-partnered ML model deployed across 5,000 São Paulo schools impacting 3.5M students. Comfortable bridging research and engineering, he has moved between roles as a software developer and data scientist, delivering reproducible pipelines and interpretable insights for clinicians and policymakers. Not obvious from titles: he pairs rigorous academic methodology with hands-on systems work, enabling both novel algorithms and their operationalization in large, real-world datasets.
11 years of coding experience
10 years of employment as a software developer
Master's degree Biomathematics Bioinformatics and Computational Biology, Master's degree Biomathematics Bioinformatics and Computational Biology at USP - Universidade de São Paulo
Analise e Desenvolvimento de Sistemas Tecn, Analise e Desenvolvimento de Sistemas Tecn at Universidade Cruzeiro do Sul
English