|Office Building||Architecture, Mathematics & Engineering Building|
|Mailing Address||South Dakota State University
Mathematics & Statistics
SAME 258, Box 2225
Brookings, SD 57007
Tools that help biologists analyze massive data
We develop easy to use tools such as iDEP and ShinyGO that can translate massive genomic data into actionable insights.iDEP
Neural networks decomposes complex patterns into building blocks.Paper
How embryos development
Exploratory bioinformatics investigation reveals the importance of “junk” DNA in early embryo development. It also identified key regulators that are later confirmed experimentally.Paper
Area(s) of ResearchCurrently, the main focus of his group is the development of tools and resources for the interpretation of large genomic data. Another emphasis is the role of transposable elements in the gene regulation, especially in embryonic stem cells. Dr. Ge also enjoys working with many collaborators in a supporting role.
Academic ResponsibilitiesSTAT 435/535 Applied Bioinformatics, spring semesters for students with biological background
STAT 736 Bioinformatics, fall semester for students in statistics, computer science departments or others with programming skills
STAT 414/514 Basic R programming, spring semester, 1 credit online course.
STAT 492: Data visualization using R.
STAT 442 Exploratory Data Analysis. Case-study based course where we analyze real datasets with R.
GrantsDr. Ge's research group is supported by National Science Foundation (NSF), National Institutes of Health (NIH), the state of South Dakota, Sanford Health etc.
- Data Science
Education2000 PhD University of Tokyo, Japan
1997 MS in Condensed Matter Physics, Beijing University of Science and Technology, China
1994 BS in Applied Physics, Beijing University of Science and Technology, China