Nichamon Naksinehaboon is a research scientist and applied mathematician with 13 years of experience applying stochastic modeling, optimization, and reliability theory to large-scale HPC and distributed systems. Based in Austin, she earned a PhD in Computational Analysis and Modeling and has led research on failure-data analysis and cost-optimizing fault-tolerance strategies such as checkpoint/restart and rejuvenation. At Open Grid Computing she translated mathematical models into practical tooling, including a Model Evaluator used in the OVIS decision-support suite for scalable monitoring of HPC systems. Her work spans Markov processes, stochastic programming, time-series and cluster analysis, and she also pursues lattice theory research on Quasi-Heyting algebras—an uncommon theoretical complement to her applied focus.
12 years of coding experience
Doctor of Philosophy (Ph.D.), Computational Analysis and Modeling, 4.0, Doctor of Philosophy (Ph.D.), Computational Analysis and Modeling, 4.0 at Louisiana Tech University
Bachelor's degree, Mathematics, 3.84, Bachelor's degree, Mathematics, 3.84 at Chulalongkorn University
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Nichamon Naksinehaboon - Research Scientist at Open Grid Computing