Summary
Victor Cardoso is a Quantitative Developer with 11 years of experience blending computer engineering, data science and production software for healthcare and financial markets. He holds a PhD in Bioinformatics from the University of Birmingham, where he led large-scale analyses on cohorts >1M patients and published 20+ papers with 500+ citations applying computational techniques to clinical problems. Victor built ML and deep learning pipelines that improved clinical risk stratification and automated previously months-long data ingestion and anonymization workflows, then transitioned those production-grade engineering skills to Citi’s Commodities EMM platform and now Squarepoint. He is adept at turning complex, ethically sensitive datasets into actionable models and dashboards, and brings a rare combination of academic rigor and hands-on cloud/ETL experience. Based in Houston, he pairs strong statistical validation (Cox regression, AUC gains) with scalable software practices (Docker, Slurm, AWS) to deliver measurable impact.
11 years of coding experience
8 years of employment as a software developer
Visiting Student Research Program Bioinformatics, Visiting Student Research Program Bioinformatics at KAUST (King Abdullah University of Science and Technology)
Study abroad program Computer Science, Study abroad program Computer Science at Aberystwyth University
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of Birmingham
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Universidade Estadual de Campinas
English, German, Portuguese