Alexander Kolovos is a Principal Scientist based in San Diego with 15+ years designing scalable enterprise analytics, decision support, and spatiotemporal AI solutions across industry and research. He blends deep academic rigor—a Ph.D. in Environmental Sciences and Engineering—with product-focused roles at Teradata and SAS, driving in-database analytics, vector stores, and MLOps into production. Founder-level work at SpaceTimeWorks centers on multi-source knowledge synthesis, uncertainty-aware predictive systems, and generative/agentic AI adoption for teams. Known for translating complex research into usable software and teaching diverse audiences, he also authors technical guidance (e.g., Teradata Orange Book contributions) and presents regularly at conferences. Less obvious: his career began with foundational stochastic and spatial modeling for environmental systems, and he still applies those mathematical perspectives to modern AI explainability and outcome translation.
10 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Environmental Physics, Master of Science - MS, Environmental Physics at University of Athens
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Crete
Ph.D., Environmental Sciences and Engineering, Ph.D., Environmental Sciences and Engineering at University of North Carolina at Chapel Hill
Contributions:11 commits, 10 pushes, 1 branch in 1 year 8 months
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Alexander Kolovos - Principal Scientist at SpaceTimeWorks