Englishtown, New Jersey, United States
Multi-scale computational physicist with 8+ years of experience developing predictive models, simulation workflows, and data-driven solutions to address complex scientific and engineering challenges. Expertise in computational modeling and simulations, and analysis of high-dimensional datasets, with a strong foundation in physics, materials science, and Python-based scientific computing. Experienced in designing computational tools, validating models against experimental observations, and translating simulation results into actionable insights for multidisciplinary research teams. Finally seeing the big picture after devoting so much energy toward pulling the pieces together is a reward unto itself however, nothing feels better than being able to show that picture to others so that they may see it for themselves.
Developed a computational workflow for analysis of specific complex physical properties as to extract actionable/interesting/novel insights from high-dimensional datasets. Integrated advanced modeling techniques and data-driven approaches to evaluate material performance and identify key structure–property relationships. Collaborated with interdisciplinary researchers to translate simulation results into experimentally relevant recommendations and research directions.
Fought battle with cancer. Won.
Performed multiscale modeling and simulation studies to investigate complex physical phenomena across a range of material systems. Developed machine learning models to accelerate data analysis, identify trends, and improve predictive capabilities across large parameter spaces. Utilized Python-based scientific computing tools to process, analyze, and visualize datasets. Interpreted simulation results and communicated findings to research teams to support data-driven decision making. Mentored and trained undergraduate researchers in computational modeling, data analysis, and scientific programming techniques.
Communicated complex scientific concepts to diverse audiences through presentations, demonstrations, and one-on-one instruction. Facilitated laboratory activities and ensured safe and effective use of experimental equipment. Supported student learning through technical mentoring, problem solving, and individualized guidance.