Summary
Anas Belouali is a Data Scientist with 12 years of experience blending data engineering rigor and machine learning expertise to solve healthcare problems, primarily within Georgetown University’s biomedical informatics and oncology programs. He has led cross-disciplinary teams to build production-ready data platforms and predictive models for clinical and imaging data, with deep fluency in healthcare data standards and workflows. His background in software engineering and BI early in his career gives him a pragmatic, systems-oriented approach to data science that emphasizes reproducible pipelines and scalable delivery. Currently a PhD candidate in Biomedical Informatics and Data Science at Johns Hopkins, he pairs academic rigor with hands-on implementation experience. Notably, he has repeatedly moved between engineering and research roles, making him effective at translating clinical questions into deployable analytics.
12 years of coding experience
10 years of employment as a software developer
Mathematics, Mathematics at CPGE - Classes préparatoires aux grandes écoles
Master's degree, Systems Medicine, Master's degree, Systems Medicine at Georgetown University
Johns Hopkins University
MEng in Software Quality Engineering, Computer Engineering, First Class Honours, MEng in Software Quality Engineering, Computer Engineering, First Class Honours at Mohammadia School of Engineers