Summary
Daniel Cuevas is a Senior Bioinformatics Scientist with 12 years of experience translating molecular discovery into production-ready algorithms and compliant software, currently advancing variant and biomarker R&D at Exact Sciences. He bridges molecular biology, statistics, and engineering—building pipelines, predictive models, and user-friendly tools that democratize data access across teams. Technically fluent in Python, R, Perl and comfortable with Java/C++, AWS, HPC, and containerized CI workflows, he spans rapid prototyping to ISO-aligned late-stage software design. His background includes genome-scale metabolic modeling and automated analysis tools developed during a PhD in computational biology, which inform pragmatic solutions for sequencing, microbiome, and cfDNA data. Known for enabling cross-disciplinary teams to understand and act on their own data, he favors low-barrier tooling that accelerates collaboration and productization.
12 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Bioinformatics and Computational Biology at San Diego State University
Doctor of Philosophy - PhD Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Bioinformatics and Computational Biology at Claremont Graduate University