Events
Human-AI Ecosystem for Health and Wellbeing
The Institute of Artificial Intelligence for Digital Health invites you to attend its monthly seminar series, which will feature Dr. Xuhai “Orson” Xu, an assistant professor in the Department of Biomedical Informatics at Columbia University and a visiting faculty researcher at Google.
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, Dr. Xu will introduce a comprehensive pipeline that connects AI, end-users, and health experts. For end-users, he will introduce his work that bridges behavior science theory-driven intervention designs and generalizable behavior models. He will also introduce his 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.
Speaker Bio
Dr. Xuhai “Orson” Xu is an assistant professor in the Department of Biomedical Informatics at Columbia University and a visiting faculty researcher at Google. He received his PhD at the University of Washington in 2023 and was a postdoc at MIT until 2024. Specializing in human-computer interaction, applied machine learning, and health, Dr. Xu develops deployable behavior modeling algorithms to monitor various health and well-being conditions using everyday sensor data and health records. He further designs and deploys intelligent intervention and interaction techniques that help users achieve personal health and well-being goals and support health experts in making decisions. Dr. Xu has earned several awards, including Best Paper, Best Paper Honorable Mention, and Best Artifact awards. His research has been covered by media outlets such as the Washington Post and ACM News. He was recognized as the Outstanding Student Award Winner at UbiComp 2022, the 2023 UW Distinguished Dissertation Award, and the 2024 Innovation and Technology Award at the Western Association of Graduate Schools.