Senior Researcher, JPMC AI Research at JPMorgan Chase & Co.
Stony Stratford, England, United Kingdom
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Kosti G is a senior researcher at JPMC AI Research with 11 years of experience bridging mathematical theory and applied machine learning, particularly in language models, agent orchestration, RAG systems, and anomaly detection. Trained as a mathematician (PhD, UMass Amherst) with a background in high-performance computing and numerical methods, he brings rigorous information-theoretic and uncertainty-quantification perspectives to production research problems in healthcare and finance. He has led research teams and shipped applied solutions at Babylon and JPMorgan, focusing on making models safer, more efficient, and operationally robust. An active practitioner with a habit of frequent GitHub commits and occasional technical blogging, he combines deep theory (fast multipole methods, Bayesian models) with hands-on engineering across large-scale systems. Notably, his work spans both low-level HPC projects and high-level agent/LM orchestration, reflecting an uncommon breadth from kernel-level numerical code to deployed AI agents.
11 years of coding experience
13 years of employment as a software developer
Bachelor's Degree Applied Mathematics, Bachelor's Degree Applied Mathematics at University of Crete
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at University of Massachusetts Amherst
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