Research
Dr. Alam’s research focuses on the integrated analysis of multi-view data in biomedical applications, including projects which aim to reveal new fundamental biological insights of complex diseases and those centered on more clinical applications.

Statistical machine learning: dimensionality reduction, feature selection, non-parametric models, and inference methods for integrative analyses of multi-omics biomedical data including genome, epigenome, transcriptome, proteome, metabolome, lipidome, and medical image of complex diseases.

As a statistical scientist, Dr. Alam’s research interests are in the areas of theoretical and computational aspects of data science, including statistical machine learning, deep learning, robust statistics, and adversarial machine learning.