👋 I am an Assistant Professor in the Computer Science Department at Boise State University, where I direct the MIND (Machine Intelligence and Data) Lab. Previously, I was a Postdoctoral Scholar in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. I earned my PhD in Computer and Information Science and Engineering from Syracuse University. I was recognized as a Rising Star in EECS by MIT (2024) and as a Rising Star in Data Science by UCSD, UChicago, and Stanford (2024).
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OPEN POSITIONS - My lab will offer fully funded PhD positions and welcome students at all levels. If you're interested in working with me, please feel free to email me with your CV/resume and transcript.
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(Due to the volume of messages and my availability, I’m unable to respond to every email (apologies!). If you don’t hear back, please don’t take it as a reflection of your abilities and potential—it often comes down to timing or alignment.)
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CALL FOR PAPERS - WSDM 2026 is now accepting submissions for the Doctoral Consortium, which will take place on February 22, 2026, in Boise, ID. The submission deadline is October 27, 2025. More details are available here.
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RESEARCH - My research focuses on developing novel, practical, and trustworthy methods in machine learning, data science, and human–AI interaction to tackle social challenges involving complex data and to enhance human capabilities.
Current interests include (but are not limited to):
My research has been published in journals like CSUR (impact factor: 28) and conferences including WWW, CHI, KDD, CIKM, WSDM, and ICWSM, with 5000+ citations. It was featured in the ACM Showcase and media outlets such as Psychology Today. As a (Co-)PI, I received funding from the UW Allen School, Population Health Initiative, Garvey Institute for Brain Health Solutions, and Center for an Informed Public. I am a co-chair for the WSDM 2026 Doctoral Consortium, serve on program committees for conferences such as KDD, WWW, AAAI, and SIGIR, and review for journals including TPAMI, TKDE, TOIS, TIFS, and TMM.
MENTORING - I am fortunate to work with and receive support from talented people across academia and industry. I view mentoring as a reciprocal learning journey. By leading through example and adapting to each student’s goals and style, I strive to provide resources and support that nurture both professional skills and lasting personal qualities.
I’m also dedicating 30 minutes each week to connect with and mentor junior researchers and students at all levels. If you’d like to discuss anything related to your personal or professional growth, please feel free to email me.
September 2025
August 2025
July 2025
June 2025
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Correcting Misinformation on Social Media with a Large Language Model
Xinyi Zhou, Ashish Sharma, Amy X Zhang, Tim Althoff University of Washington
Revising @ Nature Communications, 2024
https://github.com/Social-Futures-Lab/MUSE
How We're Adding AI to the ARTT Tool
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Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation
Ruotong Wang, Xinyi Zhou, Lin Qiu, Joseph Chee Chang, Jonathan Bragg, Amy X Zhang University of Washington, Allen Institute of AI
ACM International Conference on Human Factors in Computing Systems (CHI), 2025
(Alternatively, check here on Bluesky)
Madrona Prize Awarded to AI Assisted Team Communication Research
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My parents and I had a rabbit named Maodu (毛肚). She crossed the rainbow bridge at the age of seven. I now live with a cat, Pumpkin, and a Westie named Funding.
Copyright @ Xinyi Zhou. Last updated: September 30, 2025