Naboth, S., and I. V. Hicks. “Weighted, Dynamic, and Endogenous Fairness in Mathematical Optimization.” Manuscript in preparation.
I am a Ph.D. student in the Department of Computational Applied Mathematics and Operations Research at Rice University, where I am advised by Professor Illya V. Hicks. My research centers on mathematical optimization, with an emphasis on mixed-integer nonlinear optimization and its connections to machine learning and scientific computing.
I develop computational methods for challenging decision problems, including bound tightening, convex relaxations, cutting planes, decomposition, and branch-and-bound techniques. I am particularly interested in applications involving energy systems, symbolic regression, multi-fidelity modeling, and scientific decision-making.
Before beginning my doctoral studies at Rice, I earned an M.S. in Financial Engineering from WorldQuant University, an M.S. in Mathematical Modelling from the University of L’Aquila, and a B.S. in Mathematics from the University of Nairobi.
You can view or download my CV.