The primary goal of my research is the development of computational methods to detect genetic risk factors of common, complex traits in human populations.  As the field of human genetics increasingly accepts a complex model of phenotypic development that involving many genetic and environment factors, it is increasingly important to develop analytical strategies that incorporates this complexity.  Data collected from different physiological compartments that represent biological flux across time and space (such as genetic, proteomic, and environmental data) will need to be incorporated to gain a fuller understanding of the biological mechanism underlying complex phenotypes. My research is focused on the development of methods to detect such complex predictive models in high-throughput genomic data.

I regularly teach both graduate and undergraduate courses, including the following courses:

Statistical Genetics Practicum (STAT 498, ST489)

Readings (STAT 635)

Bioinformatics Consulting (STAT 610/ STAT 810)

Introduction to Statistics (STAT 311)

For full details on teaching and research, please see my CV:

MotsingerReif-CV-January2012.pdf

Links to Collaborators and Programs I am actively involved in:

Bioinformatics Research Center

http://statgen.ncsu.edu/brcwebsite/home.php

Computation for Undergrads in Statistics Program

http://www.stat.ncsu.edu/cusp/

Institute for Pharmacogenomics and Individualized Therapy

http://www.ipit.unc.edu/

Pharmacogenomics for Every Nation Initiative

http://pgeni.unc.edu/

Summer Institute of Statistical Genetics

http://www.biostat.washington.edu/suminst/sisg/general

1st Short Course on Statistical Genetics and Genomics

http://www.soph.uab.edu/ssg/nigmsstatgen/first

Center for Comparative Medicine and Translational Research

http://cvm.ncsu.edu/ccmtr/

Last Updated January 9, 2011