Graduate Research Assistant
9/2022 - 12/2024
Stanford Doerr School of Sustainability
Led original research on multiphase instabilities in Earth systems, related to changing dynamics in persistently degassing volcanoes. Executed direct numerical simulations of
solid-fluid-gas interactions on high-performance computing clusters. Developed a custom
Python post-processing pipeline to analyze large datasets and visualize emergent
patterns. Presented at AGU 2023; manuscript in preparation.
Climate, Energy, and Environment Intern
6/2025 - 11/2025
Sandia National Laboratories
Designed a modeling approach adapting a smoothed-particle hydrodynamics framework to
simulate interactions between floating algae mats and wave energy, assessing impacts of
Caribbean Sargassum on renewable energy potential.
Public Service Fellow
9/2023 - 6/2024
Stanford Haas Center for Public Service
Partnered with environmental nonprofits, community leaders, and university stakeholders
to advance community-engaged research at the new Doerr School of Sustainability. Participated in academic colloquium on theory and practice of community-engaged research and teaching, as a part of a cohort.
Environmental Action Intern
6/2021 - 12/2021
MIT Environmental Solutions Initiative
Founding member of a rapid-response research team producing actionable briefs, white
papers, and technical-policy synthesis products for urgent environmental challenges. Projects include contributing to a white paper on water access and ethical engagement with the Navajo Nation, and organizing public comments on the Migratory Bird Treaty Act.
Reactor Technician
8/2018 - 5/2022
Reed College Nuclear Reactor
Completed competitive training program to operate and maintain a TRIGA research reactor; proficient in nuclear activation analysis, gamma spectroscopy, and radiation safety.
Trained future operators and led teaching labs, tours, and science outreach for public and student audiences.
Physical Oceanography Research Intern
6/2021 - 9/2021
DAAD RISE Fellow, University of Bremen
Modeled disruption of the Arctic Ocean’s pycnocline structure from storms using MITgcm (global circulation model), motivated by rising sea-ice loss. Visualized computational results in Python with oceanographic salinity and temperature profiles.