My latest research involves exploring how to best utilize supervised ML models to classify spatially resolved pixels and predict their star formation rate.
A personal project to classify celestial bodies using a feedforward neural network. The dataset was obtained from the Sloan Digital Sky Survey (SDSS) and contains data on galaxies, stars, and quasars.
Published in , 2025
The aim of this project is to determine what parameters are the most important in predicting quenching at the spaxel level for subcategories of galaxies. Results currently being prepared for publication.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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