Little Red Dots

Advisor: Danilo Marchesini (Tufts University)

I've analyzed JWST NIRCam and NIRSpec data as well as PRISM spectroscopy to develop color classifications of Little Red Dot (LRD) galaxies and create composite spectral energy distribution templates. In this work, I modeled spectral energy distributions with Bayesian python packages. I subsequently have begun searching for LRDs in HSC data, looking across redshifts to better understand how they evolve with cosmic time. In this research I am also completing a principal component analysis to determine which telescope filters are most crucial to detecting LRDs.

Sympathetic Flares

Advisor: David Martin (Tufts University)

In this project, I worked with TESS data to find flaring M-Dwarfs and, specifically, to hunt for sympathetic flares on non-solar stars. I developed a theoretical Monte Carlo simulation to understand the mechanisms behind stellar flares and sympathetic flare rates. Subsequently, I applied statistical anlayses, focusing on Poisson vs. Weibull distributions alongside bootstrapping techniques, to the real TESS data. In this project, I uncovered the most conclusive evidence to date pointing towards the existence on sympathetic flares on other stars! A paper is being written, to be submittted by Sept. 2025.

Dwarf Galaxies in the SAGA Survey

Advisor: Risa Wechsler (Stanford University)

During my undergraduate years, I worked with Professor Risa Wechsler to analyze the SAGA survey data to better understand the formation of large satellite gaalxies as it related to galactic clustering. I contributed to large improvements to neural-network galaxy simulations based on my findings that the simulations consistently underpredicted the amount of large satellites. In Professor Wechsler's group, I also mentored junior undergraduates and contributed to their summer projects.