Research Areas
Our research connects data mining, machine learning, artificial intelligence, and privacy-enhancing technologies through a shared focus on responsible and practical data mining.
Data Mining
We investigate patterns in large-scale social, behavioral, and productivity data to understand how people collaborate, work, and interact with digital systems.
Our work emphasizes careful measurement, interpretable analysis, and research questions grounded in real-world data.
Machine Learning
We develop machine learning methods for prediction, representation learning, and decision support across complex real-world datasets.
The focus is not only model performance, but also reliability, interpretability, and practical deployment.
Artificial Intelligence
We study intelligent systems for reasoning, automation, and human-centered AI applications.
Our research considers how AI systems can support people while remaining understandable, responsible, and useful in practice.
Privacy
We design privacy-preserving approaches for secure computation, trustworthy analytics, and responsible AI systems.
The goal is to enable meaningful data analysis while reducing the exposure and misuse of sensitive information.