I am a researcher in Artificial Intelligence and Data Science specializing in healthcare applications. My work focuses on developing and translating advanced machine learning and generative AI methods into clinical decision support, patient stratification, and precision medicine. I have designed large-scale healthcare risk models (including adverse drug events, falls, readmissions, and HCC-based stratification), and developed intelligent knowledge retrieval systems that enable clinicians to access context-aware medical information in real time. My research also addresses integration of structured EHR data and unstructured clinical notes to support diagnostic reasoning, treatment prioritization, and management of complex comorbidities. Research interests include: • Clinical decision support systems (CDSS) • Generative AI and multi-agent systems in healthcare • AI for drug discovery and genomics-informed precision medicine • Semantic interoperability and knowledge representation in healthcare data • Scalable, explainable, and ethical AI in clinical practice I aim to advance the science and application of AI in medicine through research that is academically rigorous, clinically relevant, and translational to real-world healthcare practice, ultimately improving patient outcomes and enabling personalized care.