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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.

HR job title

  • Assistant Professor