Jiuzhou Song received his PhD degree in statistical genetics from China Agricultural University, China,
in 1995. From 1995 to 1998, he held a postdoctoral fellowship in genetics at
the Hebrew University of Jerusalem, Israel, and then he became a research fellow in
biochemistry and molecular biology at Indiana University, USA, during
1998–2000. Currently, he works as a Professor at the Department of Animal and
Avian Sciences, University of Maryland, College Park. His research centers on
elucidating the genetic basis and epigenetic mechanism of genome to phenome,
especially on complex diseases and quantitative traits of livestock animals and
humans; developing statistical approaches to study the interaction between
livestock genomes and environmental factors, especially to discover alleles and
epi-alleles as biomarkers that modify responses to environmental stimuli and to
investigate how such epigenetic marks and alleles affect exposed animal; global
analysis of systems biology by integrating a variety of biological knowledge
from genetic, genomic, and epigenetic studies; modeling and epigenetics in
reprograming of chicken stem cells; and developing strategies of animal
disease prevention and improving livestock performance.
Research Keywords & Expertise
Epigenetics
animal genetics
Statistical Genomics
Quantitative traits of...
Fingerprints
22%
Quantitative traits of livestock
14%
Epigenetics
Short Biography
Jiuzhou Song received his PhD degree in statistical genetics from China Agricultural University, China,
in 1995. From 1995 to 1998, he held a postdoctoral fellowship in genetics at
the Hebrew University of Jerusalem, Israel, and then he became a research fellow in
biochemistry and molecular biology at Indiana University, USA, during
1998–2000. Currently, he works as a Professor at the Department of Animal and
Avian Sciences, University of Maryland, College Park. His research centers on
elucidating the genetic basis and epigenetic mechanism of genome to phenome,
especially on complex diseases and quantitative traits of livestock animals and
humans; developing statistical approaches to study the interaction between
livestock genomes and environmental factors, especially to discover alleles and
epi-alleles as biomarkers that modify responses to environmental stimuli and to
investigate how such epigenetic marks and alleles affect exposed animal; global
analysis of systems biology by integrating a variety of biological knowledge
from genetic, genomic, and epigenetic studies; modeling and epigenetics in
reprograming of chicken stem cells; and developing strategies of animal
disease prevention and improving livestock performance.