Rice University
Ph.D., Computational Applied Mathematics and Operations Research
Research focus: mixed-integer nonlinear optimization, mathematical optimization, and machine learningCurriculum vitae
Stephen Naboth
Ph.D. Student in Computational Applied Mathematics and Operations Research at Rice University.
Education
WorldQuant University
M.S., Financial Engineering
University of L’Aquila
M.S., Mathematical Modelling
University of Nairobi
B.S., Mathematics
Research experience
Ph.D. Researcher
Rice University
- Develop algorithms for mixed-integer nonlinear, stochastic, and fairness-constrained optimization problems.
- Design bound-tightening, convex-relaxation, cutting-plane, and decomposition methods.
- Implement and benchmark methods in Python and Julia with Gurobi and SCIP.
- Apply optimization and machine learning to energy systems, symbolic regression, multi-fidelity modeling, and scientific decision-making.
Publications & manuscripts
Naboth, S., and I. V. Hicks. “Weighted, Dynamic, and Endogenous Fairness in Mathematical Optimization.”
Naboth, S. “A New Approach for Automatic Defect Detection via Thermal Image Processing and Deep Learning Tools.” Master’s thesis, University of L’Aquila.
Professional experience
AI Engineer
Summer Engineering Innovation Program, Rice University
Develop an AI-assisted scholarship platform with specialized language-model agents, document analysis, retrieval-augmented generation, and personalized application workflows.
Data Analyst
Medipost Pharmacy, Nairobi
Analyzed operational, sales, and inventory data; developed reporting dashboards; and applied forecasting methods to inventory planning.
Skills
- Programming & tools
- Python, Julia, C++, SQL, MATLAB, R, Git, Linux, Docker, Jupyter, and LaTeX
- Optimization
- Gurobi, SCIP, CPLEX, mixed-integer, nonlinear, and convex optimization, decomposition, and cutting planes
- Machine learning & data
- PyTorch, scikit-learn, pandas, NumPy, forecasting, statistical modeling, and data visualization
Leadership & service
CMOR Department Representative
Rice University Graduate Student Association