Phone: (902) 494-8865
Fax: (902) 494-5130
6316 Coburg Road - PO BOX 15000
Halifax, Nova Scotia, Canada
- Statistical genetics and bioinformatics
- Molecular evolution
- Likelihood methods
- Adaptive evolution
- Mixture models
Office Number: Chase Room 202
I am interested, generally, in statistical inference and applications. My main research focus has been in computational biology and bioinformatics with a particular emphasis on statistical issues in molecular evolution. Much of my work has been devoted to statistical methods for and analysis of sequence data. Example areas of interest include bootstrapping and inferential methods that are robust to model misspecification, methods for more realistic models of protein evolution and assessing statistical uncertainty about phylogenetic trees.
- Susko, E. (2017). Bayes Factor Biases for Non-nested Models and Corrections. Canadian Journal of Statistics. 9:290-309.
- Jones, C.T, Youssef, N., Susko, E. and Bielawski, J.P. (2017). Shifting balance on a static mutation-selection landscape: a novel scenario of positive selection. Molecular Biology and Evolution. 34:391-407.
- Mingrone, J., Susko, E. and Bielawski, J. (2016). Smoothed bootstrap aggregation for assessing selection pressure at amino acid sites. Molecular Biology and Evolution. 33:2976--2989.
- Susko, E. (2014). Tests for Two Trees using Likelihood Methods. Molecular Biology and Evolution. 31:1029--1039.
- Susko, E. (2013). Likelihood ratio tests with boundary constraints using data-dependent degrees of freedom. Biometrika. 100:1019--1023.
Personal site: http://www.mathstat.dal.ca/~tsusko/