Zou, Na Assistant Professor

Dr. Zou's research focus is statistical machine learning on large scale, dynamic and networked data with various real-world applications. Specifically, her interests include fairness in machine learning from a computational perspective, interpretable machine learning, integrating Bayesian statistics and sparse learning models for transfer learning, statistical and predictive modeling of dynamic and multi-dimensional data for network evolution and change detection. She is also interested in brain informatics to model brain connectivity for cognitive performance assessment, biomarker identification and disease diagnosis.