Kevin M.

Data Analysis & Simulation

I am a computational scientist with over 15 years of experience applying data analysis, numerical methods, and simulation to solve complex problems in physics, engineering, and energy systems. My expertise spans both Python (NumPy, SciPy, Pandas) and MATLAB, which I have used extensively to develop models, perform statistical analysis, and create simulation frameworks. I have a strong background in battery modeling and life prediction, including machine learning approaches, first-principles simulations, and circuit-based methods. Beyond batteries, my work has included multiphysics simulations, calorimetry, and advanced statistical modeling, supported by a deep foundation in physics (PhD, University at Buffalo). Whether you need a robust data analysis pipeline, optimization of numerical algorithms, or custom scientific software, I bring a proven record of building reliable tools that generate actionable insights.