Caleb Levy is a PhD researcher in astrophysics at Harvard University, where he develops theoretical models and studies astrospheres and their interactions with the galactic medium. His prior work spans dark matter accretion modeling, machine learning for faint galaxy detection, and purely theoretical work. He is generally interested in the use of LLMs as tools for academic research through their abilities to draw semantic relationships as well as their capabilities in gathering information to significantly streamline literature review.