Stripe
Pablo Cordero is a data scientist with extensive experience in machine learning and data analysis across diverse fields. Currently employed at Stripe since August 2021, Pablo focuses on forecasting and machine learning applications related to risk and losses. Prior roles include serving as a computational biologist at Hexagon Bio, where efforts centered on mining fungal genomes for drug discovery using large-scale machine learning and genome sequencing. As a postdoctoral research scholar at UC Santa Cruz, Pablo developed machine learning techniques for analyzing single-cell 'omics data. Other experiences include data science consulting at BuildZoom, data science apprenticeship at Catenus Science, and research assistantship at Stanford University School of Medicine, alongside roles in software engineering and lecturing. Pablo holds a Ph.D. in Biomedical Informatics from Stanford University School of Medicine and a Bachelor of Science in Computer Science from Universidad Nacional Autónoma de México.