About Me

Hello! I'm Simon Thomas, a Physics and Spanish major with a minor in Computer Science. I am passionate about physics, computational modeling, and software development. This website showcases my work, projects, and ways to connect with me.

Work Experience

Burns Fund Fellowship
Bowdoin College - Burns Fund Fellowship

Developed a computational model to evaluate scientific measurement campaigns. Collaborated on atmospheric research and presented findings at a symposium.

This project focused on evaluating the feasibility of using the flux-gradient method for measuring oxygen and carbon dioxide fluxes in Harvard Forest. I developed a one-dimensional computational model of the atmosphere, simulating gas emissions and diffusion. This model revealed that while carbon dioxide could be measured with high precision, the flux-gradient method was not suitable for oxygen due to its minimal concentration gradients. This research contributed to understanding atmospheric dynamics and the challenges of measuring gas exchange in forest ecosystems.

Department of Atmospheric Science
U of Utah - Department of Atmospheric Science

Participated in an NSF-funded program, evaluated numerical models for wildfire spread, and suggested improvements for atmospheric parameterization.

I investigated the behavior of wildfire plumes in crosswinds using the QES-Fire and SAM atmospheric models. My research demonstrated that while crosswinds did not alter the plume's overall structure, they caused significant plume displacement, even at low wind speeds. I proposed a parameterization scheme to account for this displacement, offering a potential improvement for wildfire models. This work highlighted the importance of accurate plume modeling for better prediction of wildfire behavior in varying atmospheric conditions​.

Lexicon Lab
Bowdoin College - Lexicon Lab

Developed web apps and UIs for interactive cognitive science experiments using lightweight static sites and databases.

Additional details about Lexicon Lab...

Barcelona Supercomputing Center
Barcelona Supercomputing Center

Analyzed geographical datasets and ran atmospheric models using the MareNostrum 4 supercomputer.

During my internship, I analyzed the geographic datasets used by the MONARCH air quality model, including land use, topography, and coastline data. I identified significant errors in the model’s representation of coastal regions, which affected air quality predictions. My findings emphasized the importance of high-resolution geographic data for accurate simulations, particularly in urban and coastal areas, and suggested improvements to enhance the model's predictive capabilities​

National Center for Atmospheric Research
National Center for Atmospheric Research

Developed a web UI for NCAR’s MusicBox chemistry model using Django, JavaScript, and Bootstrap.

Developed a docker-distributed locally hosted web user interface for the MusicBox chemistry model. Used Django, jQuery, and Bootstrap to create a functional, responsive, and attractive interface. Designed and implemented a variety of dynamic features, including flexible form fields, unit conversion calculators, and scientific visualization tools. The MusicBox chemistry box model allows scientists, professors, and students to simulate chemical systems and conduct atmospheric chemistry research with state-of-the-art modeling technologies.