About
I am a computational scientist with extensive experience at NASA developing mission-relevant modeling, visualization, and digital-twin frameworks. Proven record of leading cross-disciplinary teams, translating research into operational tools, and supporting national Earth-science priorities through scalable, reproducible computational workflows.
My work focuses on the design and implementation of reproducible, scalable software systems to support climate and weather modeling, including the NASA Unified WRF (NU-WRF) framework. I am also the architect and lead developer of eViz, a Python-based visualization toolkit for model diagnostics and data exploration.
I have contributed to high-impact efforts across modeling, visualization, and high-performance computing, and have experience mentoring interns and junior scientists, and teaching university-level courses on scientific computing and simulation.