Sarah Jiang

Hi! I'm a Biomedical Engineering PhD student at Duke University, where I work on developing digital health tools and deep learning methods to improve health outcomes and healthcare access in the BIG IDEAs Lab, advised by Dr. Jessilyn Dunn. I'm broadly interested in leveraging wearable devices and biosignals for remote monitoring and early detection and intervention of chronic illness. I'm fortunate to be funded by the NSF Graduate Research Fellowship.

Previously, I completed my BSE in Biomedical Engineering and Computer Science at Duke University, where I conducted research on wearable sensor advancements and biosignal data demographics, and developed full-stack applications for healthcare data management. I also interned at UCLA where I was advised by Dr. Yuzhe Yang in the Health Intelligence Lab (HAIL). As part of HAIL, I co-led a project evaluating various self-supervised learning objectives to build a general purpose motion foundation model and created a unified dataset of high resolution accelerometer data for activity and disease tasks. Beyond research, I was also a machine learning engineer at Mantis (YC W26), where I worked on developing AI models for predictive human analytics and behavior modeling for professional athletes.

When I'm not working on a project, you can find me playing the piano, exploring local coffee shops or buried in a good book [currently reading: The Shadow of the Gods by John Gwynne & Emily Wilson's translation of The Odyssey].

Email  /  CV  /  Scholar  /  LinkedIn  /  Github