Summary
Ben Sirb is a Staff Data Scientist and mathematician with 7 years of experience building data systems at the intersection of AI and blockchain. Trained to think from first principles (PhD in Mathematics with work in decentralized machine learning), he prefers engineering lower-level infrastructure—ETL, pipelines, databases, and consensus simulations—over routine model tuning. He has led data-driven product and reputation systems at Storj and Chainlink, designed scoring and simulation frameworks for decentralized networks, and now helps a stealth startup fuse AI and blockchain. A former instructor and founder, he blends academic rigor with hands-on product delivery and mentorship. Notably, his career arc moved from teaching to decentralized networking because his PhD problems directly translated into industry-ready solutions, reflecting a pragmatic, systems-first approach to data science.
7 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Mathematics, Master of Science (M.S.) Mathematics at Georgia Institute of Technology
Doctor of Philosophy (PhD) Mathematics (Decentralized Machine Learning), Doctor of Philosophy (PhD) Mathematics (Decentralized Machine Learning) at Georgia State University
Romanian, English