Stephen Naboth

I am a PhD Candidate in Computational & Applied Mathematics and Operations Research at Rice University. My research focuses on mathematical optimization, artificial intelligence, and scientific computing. I develop algorithms and decision-support tools that combine optimization, machine learning, and domain knowledge to address challenging problems in energy systems, finance, engineering design, and digital transformation.

Beyond research, I am interested in translating advanced analytical methods into practical tools that create measurable impact. My work spans optimization theory, mixed-integer nonlinear programming, AI agents, fairness-aware decision making, and scientific machine learning.