Summary
Kent Kawashima is a computational population geneticist and co-founder with 11 years' experience applying numerical simulation and machine learning to viral and cancer evolution. Based in Greater Tokyo, he develops biological databases and automated pipelines that accelerate large-scale sequence comparison, ortholog discovery, and alignment quality control. His work spans hands-on wet-lab NGS workflows and algorithmic model-building, from dengue virus detection and SNP analysis to hybrid within-host/between-host pathogen evolution models. At the Graduate University for Advanced Studies he builds predictive cancer-genetics ML tools, while kabaw.ai underscores his move to translate research into product. He also routinely teaches bioinformatics and maintains lab computing infrastructure, combining rigorous theory with practical reproducible tooling.
11 years of coding experience