Computational Research
Collins Bekoe
MSc Applied Mathematics · MSc Scientific Computing
Computational researcher specializing in mathematical modeling, scientific computing, energy systems, epidemiological modeling, and numerical optimization. Building rigorous computational tools to understand and solve real-world problems.
AI-Assisted Research Workflow
Collins incorporates AI as a research accelerator throughout his computational work. AI is used as a tool to enhance — not replace — the scientific modeling process. It supports faster exploration of ideas, clearer mathematical formulations, and more efficient debugging of numerical models. AI helps refine simulation logic, generate synthetic scenarios, validate assumptions, and improve the clarity of research communication.
By integrating AI into the workflow, Collins is able to investigate alternative modeling approaches, explore deeper variations of a research question, and iterate more rapidly on complex systems.
In this portfolio, AI functions the same way advanced computational tools do in modern research: it expands what is possible, accelerates discovery, and strengthens the rigor and reproducibility of the final results.
Research Areas
Five Project Series
Each series represents a complete research investigation, from problem formulation through implementation and analysis.
Wind & Renewable Energy Modeling
Physics-based simulation of turbine wakes, flow interactions, and energy capture in multi-turbine wind farms.
Infectious Disease Modeling
Compartmental and stochastic models of epidemic dynamics, including SIR, SEIR, and Monte Carlo simulations.
Climate & Energy Systems
Solar PV modeling, climate energy balance, grid load forecasting, and electricity dispatch optimization.
Numerical Optimization
Linear, quadratic, and nonlinear optimization applied to supply chains, finance, and chemical engineering.
Climate-Energy-Grid Integration
End-to-end pipeline linking weather-driven solar PV simulation, electricity demand, and optimal generator dispatch.
Explore the Full Portfolio
Browse all 12+ research projects spanning wind energy, epidemiology, climate systems, and numerical optimization.