Research
My research interests include exoplanets, cataclysmic variable stars, and cosmology, alongside machine learning and artificial intelligence applications to astrophysics. I have experience with observational data, both collecting my own and utilizing others', as well as simulated observational data.
Detecting Low Abundance Molecules in Exoplanet Atmospheres
At University of Florida's Department of Astronomy, I work with Dr. Jason Dittmann to apply machine learning (ML) techniques to James Webb Space Telescope (JWST) exoplanet spectra. This project has been in progress since Fall 2023, and serves as my Artificial Intelligence (AI) Scholars project for the 2024-2025 academic year.
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This project involves creating large amounts of simulated exoplanet atmospheric spectra, binning the resolution down into that of JWST's resolution, and applying ML classifiers to evaluate the detectability of low abundance molecules in exoplanet spectra.
Analyzing Low States in Intermediate Polars
Alongside Colin Littlefield (Bay Area Environmental Research Institute) and Dr. Peter Garnavich (University of Notre Dame, Department of Physics and Astronomy), I analyzed 45 intermediate polar (IP) light curves for low states, in which the IP fades unpredictably, and for unknown amounts of time. This project will be submitted to a peer-reviewed journal in late October 2024.