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Department of Mathematics & Statistics

Xijin Ge

Xijin Ge

Title

Professor

Office Building

Chicoine Architecture, Mathematics and Engineering Hall

Office

258

Mailing Address

Chicoine Architecture, Math & Engineering Building 258
Math & Statistics-Box 2225
University Station
Brookings, SD 57007

Biography

Dr Ge's teaching and research focus on data science and bioinformatics. Bioinformatics is a discipline that combines statistics, computer science, and biological context to analyze large genomics datasets to help understand the complex logic of life.
Bioinformatics tools

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.

Neural networks decomposes complex patterns into building blocks.

Machine learning

Neural networks decomposes complex patterns into building blocks.

Embryo Development

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.

Education

2000 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

Academic Interests/Expertise

Bioinformatics
Genomics
Data Science

Academic Responsibilities

STAT 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.

Grants

Dr. Ge's research group is supported by National Science Foundation (NSF), National Institutes of Health (NIH), the state of South Dakota, Sanford Health etc.

Area(s) of Research

Currently, 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.

Department(s)

Links

Dr. Ge's publicationsSoftware developed at Ge labDescription of Dr Ge's research 2014Dr Ge on LinkedInDr. Ge on Twitter

Open Prairie

Open PRAIRIE - Public Research Access Institutional Repository and Information Exchange

Advisee's dissertation