Summary
Hari Koduvely is a Principal Data Scientist with a deep academic foundation in theoretical statistical physics and over 18 years applying that rigor to real-world ML and AI problems. Based in Ottawa, he designs advanced threat detection and insider-threat models at OpenText, integrating generative AI and diverse data sources to automate investigations and surface software vulnerabilities. His background spans senior roles in industry and academia—from Samsung R&D and Micro Focus to lecturing and part-time professorship—bringing both product-facing delivery and teaching experience. A converted theoretical physicist, he leverages Bayesian inference and principled probabilistic methods to tackle noisy, high-stakes cybersecurity signals. Known for bridging research and production, he focuses on scalable, interpretable solutions that improve resilience and operational efficiency.
10 years of coding experience
24 years of employment as a software developer
Postdoc, Theoretical and Mathematical Physics, Postdoc, Theoretical and Mathematical Physics at Weizmann Institute of Science
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Calicut
PhD, Theoretical Statistical Physics, PhD, Theoretical Statistical Physics at Tata Institute of Fundamental Research
Indian Institute of Technology Madras
Postdoc, Theoretical and Mathematical Physics, Postdoc, Theoretical and Mathematical Physics at Georgia Institute of Technology
English