Summary
Brian Jo is a CTO and data engineering leader with 10+ years of experience building and scaling terabyte-class data and ML pipelines across cloud and batch compute environments. He has moved research-grade genomics pipelines from days to under three hours at Princeton and now applies that same performance-first mindset to financial automation and market intelligence products. His technical breadth spans cloud infrastructure, microservices, API design, and production ML/LLM workflows, enabling rapid iteration from prototype to reliable production. Based in the New York City area, he leads teams that blend research rigor with product impact, shipping autonomous agent systems for tick-by-tick financial narratives. Colleagues describe him as open-minded and fast-adapting, comfortable bridging deep computational optimization with practical business outcomes. Unusually for a CTO, his background combines a PhD in quantitative biology with hands-on apprenticeship in trading-tech and recommendation systems, giving him a rare cross-domain view of data-driven products.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Bioengineering, Bachelor of Science (B.S.), Bioengineering at University of California, Berkeley
Certified Data Scientist, Data Science, Certified Data Scientist, Data Science at The Data Incubator
The Loomis Chaffee School
Doctor of Philosophy - PhD, Quantitative and Computational Biology, Doctor of Philosophy - PhD, Quantitative and Computational Biology at Princeton University
English, Korean, Chinese