Rong Ma

About

Rong Ma is an Assistant Professor at Harvard University, USA. His research focuses on statistical methods for data analysis, particularly in the areas of single-cell data integration, high-dimensional data visualization, and matrix analysis. He has published extensively on topics such as neighbor embedding methods, uncertainty-calibrated predictions in spatial transcriptomics, and hypothesis testing in logistic regression models.