Bioinformatics & cellular genomics
2019 Post-doctoral fellow, Bioinformatics and Cellular Genomics,
St Vincent’s Institute of Medical Research
2015 PhD, Mathematical Statistics, University of Melbourne
2013 MSc, Mathematical Statistics, University of Melbourne
My research mainly focus on developing statistical methods for studying the influence of somatic DNA mutations on clonal cell population. The ability to study gene expression profiles at single-cell resolution will be valuable for improving understanding of clonal dynamics and intra-tumoral heterogeneity in many types of cancer.
I am generally interested in constructing statistical models (mainly Bayesian-based and latent process models) for the analysis of biological data, deriving analytical model inference and implementing novel methodologies in open-source software.
- P. Qiao, C. Mølck, D. Ferrari, and F. Hollande. A spatio-temporal model and inference tools for longitudinal count data on multicolor cell growth. The International Journal of Biostatistics, 2018.
- G. Qian, y. Wu, D. Ferrari, Q. Puxue, and F. Hollande. Semi-supervised clustering by iterative partition and regression with neuroscience applications. Computational Intelligence and Neuroscience, 2016.