Designed and characterized critical subsystems and conducted experiments to optimize performance and advance the waste gasification reactor system (OSCAR) towards a technology demonstration in Low Earth Orbit.
Constructed a data-driven modular fluid, heat, and kinetic model of OSCAR subsystems using Cantera and SciPy in Python, enabling accurate predictions of overall products and behaviors.
Conducted thorough chemical analysis of reaction products utilizing advanced techniques such as infrared spectroscopy (FTIR), gas chromatography (GC), and scanning electron microscopy (SEM).
Developed custom automatic data analysis and visualization tools using Python, resulting in a remarkable 100-fold increase in analysis efficiency, enabling rapid processing of raw data and identification of key performance trends.
Leaded the development of a map-style interface based on time-series data models to identify and analyze environmental factors influencing extreme precipitation sensitivity across the U.S. Leveraging plotly in Python and GIS data, to provide comprehensive insights.
Spearheading the construction of a robust full-stack web interface incorporating dynamic form input and comprehensive database reports, utilizing Postgres, Docker, Node.js, SQL, and HTML/CSS to create a seamless user experience.