U.S. Department of Health and Human Services
 

 Contact Info

 
Tel: 301-496-0175
Email: weipingchen@mail.nih.gov
 

 Select Experience

 
  • Ph.D.Iowa State University1997
  • M.Sc.University of Birmingham1985
  • B.Sc.Wuhan University1982
 

 Related Links

 

Weiping Chen

Biologist, Genomics Core
Specialties
  • Cell Biology/Cell Signaling
  • Chromosome Biology/Epigenetics
  • Clinical Research
  • Computational Biology/Bioinformatics/Biostatistics/Mathematics
  • Genetics/Genomics
  • Molecular Biology/Biochemistry
  • Systems Biology

Research Summary

Research Goal

The ultimate purpose of my research is to devise new means to analyze, annotate, and consolidate data derived from high throughput genomics methodology.  This includes:

  • development of improved techniques that meet the needs of customers;
  • preparation of peer-reviewed manuscripts published or accepted for publication; and
  • documenting other notable scientific or professional accomplishments.

Current Research

Under the direction of the Genomics Core Facility Director, I provide bioinformtic  support and conduct high quality research (basic, clinical, and/or population-based) on topics related to the work of investigators within the Imaging Core.  I work with others to design and conduct experiments, collect and analyze data, maintain well-organized records and notes, and assist customers with drawing conclusions consistent with results.  I also develop improved techniques that meet the needs of customers.

Applying our Research

Conducting high quality research (basic, clinical, and/or population-based) support to investigators within the NIDDK and other institutes will allow the data-flow from high throughput technologies to be leveraged more efficiently by basic scientists, clinicians, and health care workers. This may have long-range implications for diagnosis and disease prevention.

Need for Further Study

There are several areas that require further study, including:

  • finding ways to participate in the presentation of scientific results and data analysis in a form consistent with public presentation standards;
  • securing necessary training and certification relevant to job duties training on commonly used software for data analysis; and
  • exploring new analysis software.