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Patrik Waldmann

Patrik Waldmann

Presentation

Associate professor, Beijer researcher

Research

  • Statistical genetics and bioinformatics
  • High dimensional data analysis and statistical machine learning
  • Bayesian statistics
  • Precision modeling in animal science

Background

  • PhD, Quantitative genetics, Lund University, 2000
  • Post doc, Genetics, Oulu University, 2001-2003
  • Post doc, Statistics, University of Helsinki, 2003
  • Assistant/Associate professor, Quantitative genetics/tree breeding, SLU Umeå, 2004-2009
  • Senior researcher, Statistical genetics, BOKU Wien, 2010-2012
  • Senior lecturer, Statistics, Linköping University, 2012-2015

Selected publications

Waldmann, P. 2016. Genome-wide prediction using Bayesian additive regression trees. GENETICS SELECTION EVOLUTION 48:42. DOI: 10.1186/s12711-016-0219-8
Weinwurm, S, Sölkner, J, Waldmann, P. 2013. The effect of linkage disequilibrium on Bayesian genome-wide association studies. JOURNAL OF BIOMETRICS & BIOSTATISTICS 4:180. doi: 10.4172/2155-6180.1000180
Waldmann, P, Meszaros, G, Gredler, B, Furst, C, Sölkner, J. 2013. Evaluation of the lasso and the elastic net in genome-wide association studies. FRONTIERS IN GENETICS 4:270. doi: 10.3389/fgene.2013.00270
Sillanpää, MJ, Pikkuhookana, P, Abrahamsson, S, Knurr, T, Fries, A, Lerceteau, E, Waldmann, P, Garcia-Gil, MR. 2012. Simultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modeling. HEREDITY 108: 134-146. doi: 10.1038/hdy.2011.56
Hallander, J, Waldmann, P, Wang, CK, Sillanpää, MJ. 2010. Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributions. GENETICS 185: 645-654. doi:  10.1534/genetics.110.114249
Banerjee, S, Finley, AO, Waldmann, P, Ericsson, T. 2010. Hierarchical spatial process models for multiple traits in large genetic trials. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 105: 506-521. doi:  10.1198/jasa.2009.ap09068
Finley, AO, Banerjee, S, Waldmann, P, Ericsson, T. 2009. Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets. BIOMETRICS 65: 441-451. doi:  10.1111/j.1541-0420.2008.01115.x
Waldmann, P, Hallander, J, Hoti, F, Sillanpää, MJ. 2008. Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigrees. GENETICS 179: 1101-1112. doi:  10.1534/genetics.107.084160
Corander, J, Waldmann, P, Marttinen, P, Sillanpää, MJ. 2004. BAPS 2: enhanced possibilities for the analysis of genetic population structure. BIOINFORMATICS 20: 2363-2369. doi: 10.1093/bioinformatics/bth250
Corander, J, Waldmann, P, Sillanpää, MJ. 2003. Bayesian analysis of genetic differentiation between populations. GENETICS 163: 367-374.

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Publications list: