I am a PhD student in Computing(Data Science) with research interests in causal discovery, federated learning, healthcare analytics, and survival analysis. My work focuses on developing scalable machine learning methods for complex real-world data, particularly in settings involving distributed data, missingness, and personalized risk prediction. I am also interested in deep learning, statistical modeling, and applying data science to impactful problems in health and decision-making.