About me

I am currently a Ph.D. candidate at Augmented Health Lab at Dartmouth College, working with Prof. Temiloluwa Prioleau. I did my M.S. at Duke University - Biomedical Engineering, used to work with Prof. Jessilyn Dunn at Big Ideas Lab.

My research interest is in the field of Applied AI/ML, Ubiquitous and mobile sensing and Digital Health, specifically leveraging sensor data from wearable devices to assist health monitoring and management using AI/ML approaches.

I have extensive research and engineering experience in multimodal wearable sensing, time-series modeling, and large-scale ML system development. My work spans building end-to-end mobile health platforms (Android/iOS clients, cloud backends on GCP, Firebase-based data infrastructure) to designing benchmarking studies for time-series foundation models and LLM-based architectures for blood glucose forecasting. I have developed scalable pipelines for processing high-frequency physiological signals (e.g., CGM, PPG), trained deep learning models including CNNs, LSTMs, Transformers, and foundation models, and conducted rigorous evaluation on real-world clinical and consumer-grade datasets. Through internships at Samsung Research and Novo Nordisk, I further translated research into large-scale production-oriented ML pipelines and multimodal health AI systems.