Georgia Tech ASDL · sponsored research · surrogate modeling
GREEN TEA was a U.S. Endowment-sponsored Georgia Tech ASDL Systems of Systems Grand Challenge project examining forest-residue pathways to sustainable aviation fuel. My contribution focused on surrogate modeling and model integration for faster decision support.
I built a data-driven surrogate of GREET, the Argonne life-cycle analysis tool, and integrated it with the project’s economic and transportation models so users could explore linked assumptions without running every underlying model independently.
I also contributed to the Tableau decision dashboard delivered to the sponsor team. This page is retained as sponsored research experience rather than presented as a public GitHub software project.
The project shows the same pattern as my newer ML systems work: turn a slow or specialized technical model into a faster, reproducible interface that supports downstream decisions.