My current project focuses on formation and evolution of spiral galaxies. Below are research projects I have worked on. 

Collisionless dynamics is often used to study galaxies, but completely neglecting collisions is an idealization that can undermine the behavior of perturbations and collective modes. The objective of this project was to develop an understanding of weakly collisional self-gravitating systems and study its implications for dwarf galaxies.

Trained machine learning models such as Random Forest, XGBoost, CatBoost, Support Vector Machines, and a Graph Convolutional Network, to classify galaxies into UDGs, LSBs, HSBs, and dwarfs using data retrieved from the IllustrisTNG simulation.