Research

My work begins with mathematical structure and physical questions, then develops computational methods and software that make the resulting evidence inspectable.

  1. Nonlinear systems and mathematical modeling

    Question. How can stability and dynamics be made explicit in nonlinear mathematical models?

    Approach. Parameter-dependent dynamics, stability analysis, and numerical methods for initial-value problems connect mathematical structure with computation.

  2. Fluid mechanics and multiphase flow

    Question. How do jet geometry, interfaces, and entrainment shape liquid–gas flow evolution?

    Approach. Theory, reduced models, VOF calculations, and scientific visualization support research on turbulent and atomizing jets.

  3. Scientific computing, HPC, and reproducible software

    Question. How can numerical work remain inspectable from assumptions through parallel execution and visualization?

    Approach. Numerical methods, CPU/MPI execution where documented, deterministic plans, provenance, and reviewable visualizations form the computational path.

  4. AI-assisted scientific work

    Question. Where can AI-supported workflows improve scientific work while keeping the governing model visible?

    Approach. AI can support research organization, software workflows, analysis, and technical communication while equations, numerical assumptions, physical interpretation, and validation remain explicit.

Applied connections

Research methods also support public-health modeling, wind-energy analysis, agrometeorology, industrial statistics, and scientific software.

Mucociliary and respiratory-epithelium modeling

Model mucociliary and respiratory-epithelium phenomena. Mathematical modeling and computational fluid dynamics.

Project context

Wind-farm wake interaction modeling

Study wake interaction in wind farms. Analytical wake modeling.

Project context

Wine-region microclimate analysis

Analyze regional wine-growing microclimate data. Applied data analysis.

Project context