Summary
荒川旭 Cortal is a Data Scientist and bioinformatics PhD specializing in single-cell data analysis with nine years’ experience turning large biological datasets into actionable insights through statistics, coding (R, Python, occasional Julia) and elegant visualization. Currently at Craif, he applies ML and MLOps to non-invasive cancer detection using urine microRNA, building on prior roles designing NGS pipelines, databases and cloud architectures for novel cancer therapies. His background blends hands-on lab experience (UCB) with academic rigor from Université de Paris and international training in biotechnology and bioinformatics, enabling him to bridge wet-lab questions and scalable computational solutions. Known for a persistent experimental mindset and continuous learning, he also admits to practicing touch typing as a fun, humanizing quirk behind his reproducible analyses.
9 years of coding experience
3 years of employment as a software developer
Master’s Degree, Biotechnology and Bioinformatics, Master’s Degree, Biotechnology and Bioinformatics at Université de Technologie de Compiègne
Doctor of Philosophy - PhD, Bioinformatics, With honour, Doctor of Philosophy - PhD, Bioinformatics, With honour at Université de Paris
Master's degree, Bioinformatics, 75/100, Master's degree, Bioinformatics, 75/100 at Cranfield University
Japanese, French, English, German, Chinese