Yan's research interests include machine learning, data analytics for images, profiles and time series data for change detection and localization, and spatial-temporal analysis.

Hahn develops novel statistical methods for analyzing data arising from the social sciences: psychology, economics, education, and business.

Martins studies behavioral evolution by mapping the ancient history of lizard communication in the southwestern US and by studying how sensory systems impact social behavior in the biomedically-important zebrafish.

Dan McNeish is an Associate Professor in the Quantitative Area and focuses on developing and applying sophisticated statistical methods to behavioral data.

Zhao's primary research interest includes machine learning methodology and theory in network analysis with applications in biology and the social sciences.

Dasarathy's research interests span topics in machine learning, statistics, signal processing and networked systems, and information theory.

Dr. Chung is a biostatistician with expertise in design and analysis of biomarker studies.