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ABOUT

 

Head shot of Xuhai "Orson" Xu in a natural environment.

xx2489 (at) columbia (dot) edu

 

Hi! I am an incoming Assistant Professor at Columbia University, Dept of Biomedical Informatics (starting in Jan, 2025) and a Visiting Faculty Researcher at Google. I focus on applying human-computer interaction (HCI), artificial intelligence (AI) methods for health applications.

I lead the SEA (Sense, Empower, and Augment) Lab. We aim to leverage everyday data and build better human-centered methods, devices, and systems to sense, empower, and augment human health and well-being.

CV / Resume  ○  Google Scholar

 

The figure shows the three research areas in the middle: HCI, AI, and health. With four specific research focus: (1) Behavior Modeling & Health Prediction, (2) Interaction & Intervention Design, (3) Actionable Insights Interpretation, and (4) Clinical Decision Support

Research Overview


I have multiple openings for PhDs/Postdocs starting Spring/Fall 2025 (DBMI & CS). I always love to work with self-motivated undergraduates, graduate students on various research projects on human-AI interaction / AI for health & medical applications.  See more details in our SEA Lab website, and shoot me an email if you are interested!

 

Drawing from human-computer interaction, applied AI/ML, and health, I develop deployable behavior modeling algorithms to monitor various health and well-being conditions using everyday sensor data and health records. Leveraging these models, I further design and deploy intelligent intervention & interaction techniques that help users achieve personal health and well-being goals and support health experts in making decisions.



Latest News

  ○  2024/09: Very thrilled to start the visiting faculty position at Google Health!

  ○  2024/07: Super excited to announce that I will be joining Columbia University DBMI as a Tenure-Track Assistant Professor in Jan 2025!

  ○  2024/01: Two senior-author papers about intelligent intervention techniques, "Time2Stop" and "MindShift", have been conditionally accepted by CHI2024. Very proud of Adiba & Ruolan!

  ○  2023/10: Our paper "GLOBEM" won the Distinguished Paper Award @UbiComp2023!

  ○  2023/10: I am honored to receive the 2023 Distinguished Dissertation Award from UW!

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RESEARCH HIGHLIGHTS

Please see the latest publications in our SEA Lab website or Google Scholar!

 

Behavior Modeling & Health Prediction

 

Generalizable Behavior Modeling

[IMWUT'23]

GLOBEM: Cross-Dataset Generalization Algs & Platform

Paper   Codebase   Website   DOI

 

 

GLOBEM Dataset

[NeurIPS'22]

Multi-Year Datasets for Longitudinal Behavior Modeling

Paper   Dataset    Website

 

 

Mental-LLM

[IMWUT'24]

LLMs for MH Prediction via Online Text Data

Paper  DOI

 

 

Health-LLM

[CHIL'24]

LLMs for Health Prediction w/ Wearable Data

Paper DOI

 

Actionable Insights Interpretation

 

Personalized Behavior Modeling

[IMWUT'21]

Collaborative-Filtering for Personalized Prediction

Paper  DOI

 

 

XAIR

[CHI'23]

A Framework of Explainable AI in Augmented Reality

Paper   Video   DOI

 

 

Interpretable Behavior Modeling

[IMWUT'19]

Using Behavior Rules for Depression Detection

Paper   DOI

 

 

Sleep-GPA

[PNAS'23]

Nightly Sleep Duration Predicts GPA

Paper  DOI

 

Interaction & Intervention Design

 

Time2Stop

[CHI'24]

Just-in-Time Adaptive Intervention for Phone Addiction

Paper   Video  DOI

 

 

MindShift

[CHI'24]

Large-Language-Model-Based Smartphone Intervention

Paper  DOI

 

 

TypeOut

[CHI'22]

Self-Affirmation for Smartphone Overuse Reduction

Paper   Video  DOI

 

 

Gesture Customization

[CHI'22]

Enabling Gesture Customization on Smartwatch

Paper   Video  DOI   Broder Impact

 

Clinical Decision Support

 

Talk2Care

[IMWUT'24]

LLM-based Voice Assistant for Patient-Providers Comm

Paper DOI

 

 

Classification2Insights

[IMWUT'24]

LLMs for Mobile & Behavioral Data Reasoning

Paper DOI

 

Please Find The Full Publication List in My CV

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