Coursework

I divided this page into two broad categories: undergraduate and graduate courses. These are by no means the only courses I took, but they represent a cross-section of my academic history. 

Graduate Coursework

Massachusetts Institute of Technology

September 2025 May 2027 (expected)

This course introduced me to mass transport in environmental flows. It covered derivation to the differential mass conservation equations, and focused on topics such as molecular and turbulent diffusion, boundary layers, dissolution, bed-water exchange, air-water exchange, and particle transport.

My advisor and I agreed this course would be valuable for solidifying my foundation in statistics and probability before delving further into machine learning research. It introduced the fundamentals of probability theory, probabilistic models, and statistical inference, covering topics such as conditional probability, etc.

[work in progress]

Undergraduate Coursework

The University of Texas at Austin
August 2020  May 2024

Geology

Fieldwork is one of the cornerstones of the geosciences. This class was my introduction to fieldwork, and the methods and thought processes that go into it. I learned how to gather my own data in the field and then synthesize predictions & interpretations about the geologic histories and processes

Structural geology is the study of how and why rocks deform, and the specific structures that form when rocks are compressed, stretched, twisted, or otherwise deformed. This class introduced me to the concepts behind identifying and quantifying deformation structures as well as the developed my underlying understanding of the physics of deformation

Hydrogeology

Groundwater hydrogeology is the study of the movement, distribution, and quality of water stored in aquifers. This class was my introduction to hydrogeology and I developed a further understanding of the processes that control groundwater and the hydrological processes. 

My work in this class culminated in a paper where I researched the relationship between cities and groundwater. 

The vadose zone is the area of the subsurface between the surface and the water table. This course focused on the physical processes that govern the flow of water in the vadose zone, with an emphasis on the exchange of mass and energy.

My work in this class culminated with a research paper where I analyzed the similarities and differences between theoretical models used to predict water flow in the vadose zone. 

GEO 376L focused on gaining experience in different field data collection and interpretation techniques used in hydrology and hydrogeology. The key component of this class was a field excursion to the Yucatán Peninsula, where we did an in-depth analysis of the hydrogeology of a barrier island and chemical sampling of cenotes. 

My work in GEO 376L concluded with a presentation and an analysis of our work at the Si’an Kahn Biosphere Reserve. Additionally, I used the data we collected to develop a poster that I presented at the American Geophysical Union in December 2023. 

Computer Science & Computational Engineering

CS 330E was a comprehensive exploration of Python-based software engineering. Focused on practical implementation, it covered essential tools for software development quality. Emphasizing automated builds, source control, unit testing, code coverage, continuous integration, and automated documentation. This class equipped me with hands-on skills essential for effective Python-based software engineering.

PGE 311 was a  programming class focused on coding mathematical equations tailored for petroleum and geosystems engineering. In it, I learned techniques for visualizing data and solving engineering problems using numerical methods.

PGE 338 delved into fundamental concepts of both frequentist and Bayesian probability and statistics. In it, I learned about models of confidence, significance, multivariate and spatial correlated features, feature engineering, spatial debiasing, estimation, stochastic simulation, uncertainty modeling, basic machine learning, and optimal decision-making under uncertainty.

Focusing on practical applications, the curriculum explored how these principles are employed in spatial problem-solving, particularly in the domains of geology and subsurface resource development.