đź‘‹ I am an Assistant Professor in the Computer Science Department at Boise State University, directing the Machine Intelligence and Data (MIND) 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 in Data Science by UCSD, UChicago, and Stanford (2024).
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CALL FOR PAPERS - The special issue “Explainable AI and Network Science for Social Systems and Collective Intelligence” in Information Processing & Management (impact factor: 6.9) is now accepting submissions. More details are available here.
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OPEN POSITIONS - My lab offers 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.)
🎓 My research develops and evaluates machine learning and foundation models with and for real-world societal impact, integrating data science and HCI methods in pursuit of futures where people and AI thrive together. Current interests include, but are not limited to:
My work has been published in journals such as CSUR (impact factor: 28) and conferences including WWW, CHI, CIKM, WSDM, and ICWSM, with 6000+ citations. It was featured in the ACM Showcase and media outlets such as Psychology Today. As PI/Co-PI, I received funding from the UW Paul G. Allen School, School of Medicine, Population Health Initiative, and Center for an Informed Public. I am a Co-Chair for the WSDM 2026 Doctoral Consortium, a Guest Editor for Information Processing & Management, serve on program committees for conferences such as WWW, KDD, AAAI, and SIGIR, and review for journals including TPAMI, TKDE, TOIS, TIFS, and TMM. I also actively collaborate across academia, industry, non-profits, and government.
June 2026
May 2026
Serve as PC member for ICDM 2026.
Will attend ICWSM 2026. See you in Los Angeles, and check our papers!:
Proceedings of the ICWSM Workshops
Can Large Language Models Assess the Social Impact of Conspiracy Theories?
Spoke as a panelist at Boise State 2026 AI Institute for Teaching and Learning Workshop.
April 2026
March 2026
February 2026
January 2026
December 2025
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One of the reasons I love my job is working with self-motivated students :).