Jiadong Mao
I’m a statistician working on biomedical problems using statistics and machine learning. At Melbourne Integrative Genomics (MIG), the University of Melbourne, I develop new computational tools to analyse big and complex ‘omics’ data from biomedical research. My current research program has two themes: modelling complex cell states and uncovering dynamics of cell state changes and disease progression. I work on single-cell and spatial omics data, and also longitudinal data (e.g. clinical variables and microbiome) from clinical trials.
Abstracts this author is presenting:
