Explainable early prediction of acute kidney injury using first 24-hour physiologic and clinical data

Physician-scientist and PhD student, focused on the evaluation and real-world implementation of clinical AI systems. My research centers on trustworthy clinical LLMs, including hallucination detection, evidence grounding, contextual reliability, and AI safety in healthcare settings. I develop evaluation frameworks and computational methods to determine whether clinical AI systems are scientifically grounded, clinically reliable, and suitable for deployment in real-world practice.