A strong foundation in computational and data science guides my work across biomolecular modeling, machine learning, and scientific software development. This multidisciplinary background in physics, chemistry, and data analysis supports the design of scalable analytical systems that turn complex datasets into clear, interpretable insights.
Through Ericson Labs LLC, my focus is on enabling research and biotech teams to bridge the gap between technical development and strategic decision-making. Open-source projects such as Vorpy3, Foamify, and Coarsify reflect a commitment to building reproducible tools and communicating intricate technical concepts in ways that align engineers, scientists, and managers toward shared goals.
A multidisciplinary toolkit spanning data science, molecular modeling, and computational research — enabling efficient analysis, visualization, and reproducible discovery.
