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I am an Assistant Professor in the College of Information Studies (iSchool) and the Institute for Advanced Computer Studies (UMIACS) at the University of Maryland, College Park. I am a member of the CLIP Lab.

I am passionate about large-scale behavior data analysis. I use multi-disciplinary methodologies featuring machine learning, causal inference, and experimental design. I am interested in applied areas of data science such as data science for social good, computational social science, recommender systems, and social and information network analysis.

I received my Ph.D. from the School of Information at University of Michigan. I was fortunate to be advised by Prof. Qiaozhu Mei and be a member of the Foreseer Group. Here is my CV.

Updates

SIGIR 2024 is in Washington D.C! I serve as a local arrangement co-chair, travel award co-chair, and DEI co-chair.
I serve as a co-chair for WSDM 2024 Doctoral Consortium.
We received an NSF Grant on Integration of Computer-Assisted Methods and Human Interactions to Understand Lesson Plan Quality and Teaching to Advance Middle-Grade Mathematics Instruction, with PI Min Sun and other Co-PIs. The project will leverage machine learning to assess mathematics lesson plan quality in the middle grades.
In the News: UMD Today
We received an UMD Grand Challenges Grant on Using Machine Learning to Measure and Improve Equity in K-12 Mathematics Classrooms, with PI Jing Liu and Co-PI Carol Espy-Wilson. We are building the M-Powering Teachers tool (M stands for machine) that utilizes NLP to analyze verbal classroom interactions and subsequently provides formative feedback to teachers.
In the News: UMIACS

Updates

Selected Recent Publications