Gabriel Hoffman ~ Graduate Student

101 Biotechnology Building
Ithaca, NY 14853

Email: gh258 at cornell dot edu

Research Interests:
My research focuses on the application of statistical and machine learning methods to large genome-wide association study (GWAS) datasets. The goal of this work is to identify novel susceptibility loci which contribute to disease risk yet have been overlooked by standard methods. While standard analyses of GWAS datasets test the contribution of a single genetic marker at a time, the multi-marker methods I am developing consider tens to hundreds of thousands of genetic markers in a single statistical model. We have demonstrated that these methods have increased power to identify weak associations and we have identified a number of novel susceptibility loci for autoimmune diseases. My interests include computational statistics, machine learning, high-performance computing and their application to quantitative genomics.

Graduate Field and Fellowships:
  • Genetics and Development

  • Hoffman, G.E., Sanchez Puerta, M.V., Delwiche, C.F. 2011. Evolution of light-harvesting complex proteins from Chl c-containing algae. BMC Evolutionary Biology Link
  • Logsdon, B., Hoffman, G., Mezey, J. 2010. A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis. BMC Bioinformatics. Link