Experience & Experiences

I have been fortunate to have a wide range of opportunities that have helped me explore my interests, build technical skills, and better understand the kind of work I want to pursue. From fieldwork on the Yucatán Peninsula to groundwater modeling at INTERA and computational projects at the University of Texas, these experiences have shaped both my academic path and professional goals.

INTERA’s Austin office 5k in March 2025.

Groundwater Modeler | INTERA Inc.

My responsibilities revolved around supporting the development of numerical models for groundwater flow at the Hanford Site. I created and managed model inputs, developed and refined Python- and R-based post-processing workflows, and integrated large monitoring datasets. I also performed geospatial analysis in ArcGIS Pro and Python to prepare model boundaries, grids, and well datasets. In addition, I generate and analyze outputs from MODFLOW and MODPATH, including residual plots, concentration–pumping overlays, and time-series visualizations, ensuring quality control through automated filtering and validation. My work supports the team in compiling and interpreting data for calibration, scenario analysis, and regulatory deliverables, as well as in preparing technical reports and presentations for clients and stakeholders.

Broader Experiences

On Campus at the University of Texas at Austin

Presentations & Awards

Presentations

MIT Ethics of Computing Research Symposium (2026): “Data Center Growth and Groundwater Stress in Texas”

SURI Research Poster Session (2024): “Incorporating the Fast Fourier Transform into a Deep Learning Workflow”

Longhorn Research Poster Session (2024)“Physical Hydrogeology of a Barrier Island in the Yucatan Peninsula”

The Jackson School of Geosciences Symposium (2024)“Physical Hydrogeology of a Barrier Island in the Yucatan Peninsula”

American Geophysical Union 2023, San Francisco (2023): “Physical and Chemical Hydrogeology of a Barrier Island in the Yucatan Peninsula”

Awards

Groundwater Field Methods Award (2023-24)

August, 2024. Presenting my poster “Incorporating the Fast Fourier Transform into a Deep Learning Workflow”