I develop and apply sophisticated statistical methods to behavioral data. Areas of interest are (a) clustered, longitudinal, and time-series data and (b) structural equation models, measurement models, and model fit.

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.

Lan's research interests include statistical inference, Bayesian modeling and uncertainty quantification.

Komal Singh's research interest focus is to improve cancer treatment-related outcomes by evaluating phenotypic and molecular risk factors for symptom occurrence and severity and determines underlying biological mechanisms.