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lharrisw/README.md

Applied mathematician and scientific-computing researcher with experience in mathematical modeling, numerical analysis, statistical analysis, and scientific software. Former NASA Jet Propulsion Laboratory Mars 2020 intern, where I analyzed Perseverance rover data using Python and Jupyter to support software-update decisions.

M.S. Mathematics | B.S. Applied Mathematics | B.S. Physics

Technical interests: scientific computing, modeling and simulation, numerical methods, optimization, operations research, autonomous systems, data science, and AI/ML.

Primary tools: Python, MATLAB, Jupyter, LaTeX.

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  1. point-in-polygon-divergence-theorem point-in-polygon-divergence-theorem Public

    A computational geometry algorithm derived from the 2D Divergence Theorem, implemented in Python and MATLAB.

    Jupyter Notebook

  2. numerical-laplacians-perfect-discretization numerical-laplacians-perfect-discretization Public

    MATLAB study of 5-point and 9-point Laplacians, with an exploratory implementation of Simon Hauswirth's perfect-Laplacian construction.

    MATLAB

  3. scientific-numerical-methods scientific-numerical-methods Public

    MATLAB implementations of numerical methods for root finding, quadrature, differential equations, and scientific computing.

    MATLAB

  4. rigidity-theorem-masters-thesis rigidity-theorem-masters-thesis Public

    Master's thesis in differential geometry examining rigidity through curvature calculations, local coordinates, and stereographic geometry.

  5. experimental-physics-data-analysis experimental-physics-data-analysis Public

    Experimental physics analyses involving quantitative modeling, uncertainty, visualization, and scientific reporting.

    MATLAB

  6. applied-mathematics-coursework applied-mathematics-coursework Public

    Selected computational coursework in numerical analysis, ODEs, PDEs, and vector analysis using MATLAB.

    MATLAB