Prof. Dr. Daniel Gianola

Profile

Academic positionFull Professor
Research fieldsAnimal Breeding, Animal Nutrition, Animal Husbandry,Bioinformatics and Theoretical Biology,Evolutionary Cell and Developmental Biology (Zoology)
KeywordsBayesian statistics, quasi-continuous traits, Markov Chain Monte Carlo methods, recursive models, semi-parametric models

Current contact address

CountryUnited States of America
CityMadison
InstitutionUniversity of Wisconsin-Madison
InstituteDepartment of Animal Sciences

Host during sponsorship

Prof. Dr. Henner SimianerInstitut für Tierzucht und Haustiergenetik, Georg-August-Universität Göttingen, Göttingen
Start of initial sponsorship01/06/2008

Programme(s)

2007Humboldt Research Award Programme

Nominator's project description

Professor Gianola is an international authority in the field of quantitative animal breeding and statistical genetics. In the last twenty years, he single-handedly brought Bayesian statistical methods to the field of animal breeding. Today, Bayesian methods are widely accepted as a most powerful conceptual framework and have been applied to various fields of animal genetics and elsewhere. In Germany, Professor Gianola will expand his research on the use of semi-parametric and machine learning procedures for prediction of genetic value for quantitative traits using massive molecular information.