I am a member of the international collaboration TEMPLATES, an ongoing program designed to spatially resolve the star formation in four galaxies at the peak of cosmic star formation. These galaxies are gravitationally lensed, meaning they appear much brighter than they do intrinsically, allowing for observations at much higher spatial resolutions. This enables an incredibly detailed study of these galaxies.
As an expert in near-infrared IFU observations, my role is to extract the relevant data features to give a complete picture of the underlying systems while effectively visualizing the data. To achieve this, I developed a powerful open-source Python module that simultaneously models the emission from the galaxy and produces a complete visualization of the entire cube.
I utilized this tool to produce this peer-reviewed publication in the Astrophysical Journal, which has been cited over 20 times.

Left: Comparing measurements of system properties with existing scaling relations. Right: Identifying trends between galaxy dust mass and galaxy dust enrichment.
This project highlights my expertise in 3D data modeling, spectral fitting, and scientific visualization, demonstrating my ability to process and analyze large-scale astronomical datasets effectively.