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.
Stripe
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Stripe is a financial technology company specializing in payments. Millions of companies ranging from startups to Fortune 500 companies across 45+ countries use Stripe to accept payments and manage their businesses online. In 2021, Stripe processed over $640 billion in payments, with over 50 businesses processing over $1 billion. Stripe’s software and APIs allow companies to accept payments and send payouts in over 135 different currencies and payment methods. Companies including online and in-person retailers, subscriptions businesses, software platforms and marketplaces with business use Stripe to beat fraud, send invoices, issue virtual and physical cards, get financing, manage business spend. Stripe has pre-built integrations for systems like Shopify, WooCommerce, NetSuite, and more. Brothers John and Patrick Collison co-founded Stripe in 2010.