Abstract

As the intelligence of everyday smart devices continues to evolve, they can already monitor basic health behaviors such as physical activities and heart rates. The vision of an intelligent health monitoring and intervention pipeline seems to be within reach. How do we get there? In this talk, I will introduce a comprehensive pipeline that connects AI, end-users, and health experts. For end-users, I will introduce our work that bridges behavior science theory-driven intervention designs and generalizable behavior models. I will also introduce my efforts on passive sensing datasets, human-centered algorithms & large language models (LLMs), as well as a benchmark platform that drives the community toward more robust and deployable health systems for both end-users and experts.

Biography: Dr. Xuhai “Orson” Xu is an Assistant Professor at Columbia University’s Department of Biomedical Informatics and a Visiting Faculty at Google, where he leads research at the crossroads of human-computer interaction, applied AI, and health. His work develops deployable AI algorithms and intelligent interventions that harness everyday sensor data and health records to monitor and improve well-being, while his human-centered pipeline unites AI, clinicians, patients, and the broader community in a collaborative ecosystem for improved care. Dr. Xu’s work has been recognized through numerous awards and widespread media coverage for its groundbreaking contributions to digital health and human-computer interaction, including several Best Paper and Best Artifact awards at top-tier venues such as ACM CHI and IMWUT , the Innovation and Technology Award, and media posts such as the Washington Post, Scientific American, and ACM News.