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Joseph bielawski

Professor
 Department of Mathematics and Statistics 
Dalhousie University
Canada

Biography

Dr. JOSEPH BIELAWSKI is affiliated to  Department of Mathematics and Statistics , Dalhousie University. Dr. JOSEPH BIELAWSKI is currently providing services as Professor. Dr. JOSEPH BIELAWSKI has authored I145and co-authored multiple peer-reviewed scientific papers and presented works at many national and International conferences. Dr. JOSEPH BIELAWSKI contributions have acclaimed recognition from honourable subject experts around the world. Dr. JOSEPH BIELAWSKI is actively associated with different societies and academies. Dr. JOSEPH BIELAWSKI academic career is decorated with several reputed awards and funding. Dr. JOSEPH BIELAWSKI research interests include Statistical modeling of molecular evolution: Research within this field is focused on (1) improving Markov models of codon and protein evolution, (2) assessment of model performance, and (3) combining such models with data mining methods for the purpose of genome-scale data analysis. The majority of the work has been with codon models, and my work in this area has had considerable influence on how statistical methods are used to detect adaptive molecular evolution..

Research Interest

Statistical modeling of molecular evolution: Research within this field is focused on (1) improving Markov models of codon and protein evolution, (2) assessment of model performance, and (3) combining such models with data mining methods for the purpose of genome-scale data analysis. The majority of the work has been with codon models, and my work in this area has had considerable influence on how statistical methods are used to detect adaptive molecular evolution.

Publications

  • Dunn KA, Bielawski JP, Ward TJ, Urquhart C, Gu H. (2009). Reconciling ecological and genomic divergence among lineages of listeria under an “extended mosaic genome concept”. Mol Biol Evol. 2009 Nov;26(11):2605-15

  • ay RA, Bielawski JP. (2012). Recombination detection under evolutionary scenarios relevant to functional divergence. J Mol Evol. 2011 Dec;73(5-6):273-86

  • Bay RA, Bielawski JP. (2013). Inference of Functional Divergence Among Proteins When the Evolutionary Process is Non-stationary. J Mol Evol. 2013 Apr;76(4):205-15. doi: 10.1007/s00239-013-9549-0. Epub 2013 Feb 27

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