Conducting research in machine learning applications for optical science and astronomy, focusing on adaptive optics and telescope alignment optimization.

Developed ML models for telescope misalignment correction, reducing alignment time by 78% through automated computer vision systems.

Built AI-powered fluorescence data analysis pipeline for miniaturized spectrometers, improving accuracy by 45% in biomedical applications.