Our group works on
integrating large scale "omics" data, i.e., genetic and various
genomic data to understand
aging and complex diseases
(we call it a Systems Geroscience approach).
We believe in order to better study aging, which is an extremely complex process, it can be very helpful to
build a systems modeling and rely on that to identify the genes and pathways that drive aging and age-related disease
phenotype. The following problems
are of most interest to us:
Define human aging at molecular level using "omics" data
Modeling the mechanistic
link between disease
network and aging network
Use our model to identify anti-aging intervention to extend human health span
For more information, please see the research.