Predictive Modeling of Stellar Cluster Properties
- Problem: To develop accurate statistical models to determine the physical parameters (ages and metallicities) of hundreds of stellar clusters from photometric data.
- Skills & Tools:
Statistical Modeling, Data Analysis, Python (Matplotlib, Seaborn). - Process:
- Applied statistical models to determine ages and metallicities for over 100 newly discovered stellar clusters.
- Conducted a large-scale analysis of more than 400 star clusters in the Magellanic Clouds.
- Outcome: Significantly improved the accuracy in stellar cluster characterization, which led to a first-author publication in MNRAS, a leading scientific journal.
- Links: [Read the Publication](https://doi.org/10.1093/mnras/stad3490)
