Research Summary I am an Assistant Professor at the Duke University School of Nursing. My work focuses on the application of artificial intelligence, machine learning, and advanced analytics to healthcare and biomedical data. With interdisciplinary training in biomedical and electrical engineering, my research integrates signal processing, predictive modeling, and large-scale data analytics to extract meaningful insights from complex clinical datasets. My research sits at the intersection of engineering, data science, and health science, with the goal of transforming diverse health data into actionable knowledge that can improve patient care and health system decision-making.
My research leverages multimodal health data, including electronic health records, physiological signals, mobile health and wearable sensor data, and social determinants of health, to better understand patient risk profiles and disease trajectories. By integrating advanced machine learning methods with clinical and population health data, I develop AI-driven tools that enable early risk identification, predictive analytics, and data-informed clinical decision support.
Before joining academia, I spent several years in the telecommunications industry, where I held a variety of technical and leadership roles. In these positions, I contributed to the design and development of large-scale industry-grade software systems and gained substantial experience in scalable data platforms and complex system architectures. I also co-founded the technology startup Noze (formerly Stratuscent), which develops an odor perception platform and intelligent breath analysis technologies designed to detect disease-related biomarkers in human breath.
