Safia Brinis

Safia Brinis is a Lead ML Scientist at Innova Solutions, collaborating with Boehringer Ingelheim since January 2024. Previously, Brinis held the position of Lead ML Scientist at Oxford Cancer Analytics, where notable contributions included designing a machine learning pipeline for lung cancer early detection, leading a significant research initiative on responsible AI, and mentoring interns within collaborative projects. As a Senior ML Scientist, Brinis developed robust pipelines for liquid biopsy analysis and patient stratification models. Prior experience includes serving as a Machine Learning Researcher at Sensyne Health, where Brinis played a key role in developing clinical algorithms for COVID-19 risk assessment, and as a Postdoctoral Research Fellow at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP, focusing on similarity search in databases with missing data. Brinis earned a PhD in Computer Science from USP - Universidade de São Paulo in 2016.