Computational Astrophysics Research Fellow
• Developed a stellar population synthesis model using Python (NumPy, Pandas, and AstroPy) to simulate synthetic star populations, integrating parameters such as star formation rates, initial mass functions, and evolutionary tracks.• Generated a structured database documenting evolving stellar properties (e.g., effective temperature, mass, luminosity) over time, utilizing recent evolutionary tracks for low-mass stars and sub-stellar objects under mentorship.