Stone, Eric - The Australian National University

个人简介

Professor, Research School of Biology; Research School of Finance, Actuarial Studies and Statistics; Director, ANU-CSIRO Centre for Genomics, Metabolomics and Bioinformatics, The Australian National University 2000 - 2004 Stanford University, PhD in Statistics 1999 - 2000 Stanford University, MS in Statistics 1998 - 1999 University of Florida, Post-Baccalaureate Study (pre-med!) 1996 - 1997 Princeton University, Graduate Study in Mathematics 1993 - 1996 University of Florida, BS in Mathematics

研究领域

I am a quantitative biologist who combines statistical methods and mathematical theory to investigate how genetic variation has shaped biological diversity. Toward that end, I study aspects of the evolutionary process, including the landscape of mutational events that give rise to genetic variation, the genetic basis of fitness-related traits, and the influence of selection and drift on patterns of genetic variation. These pursuits often stimulate the development of new statistical and computational methods, and I seek to make the most useful of these available as user-friendly tools. I value methodology as an essential lens through which biology may be perceived, but I also appreciate its ability to distort the truth. This motivates my use of mathematics to dissect popular methods that we as a community use to make biological inference.

近期论文

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Vensko SP, Stone EA. “X-to-autosome expression and msl-2 transcript abundance correlate among Drosophila melanogaster somatic tissues”. Peer J 3, e771. Olarte RA, Worthington CJ, Horn BW, Moore GG, Singh R, et al. “Enhanced diversity and aflatoxigenicity in interspecific hybrids of Aspergillus flavus and Aspergillus parasiticus”. Molecular Ecology 2015: 24, 1889-1909. Strope PK, Skelly DA, Kozmin SG, Mahadevan G, Stone EA, Magwene PM, Dietrich FS, McCusker JH. “The 100-genomes strains, an S. cerevisiae resource that illuminates its natural phenotypic and genotypic variation and emergence as an opportunistic pathogen”. Genome Research,2015 25: 762-774. Stone EA. “Predictor performance with stratified data and imbalanced classes”. Nature Methods2014: 11, 782-783. Vensko SP, Stone EA. “No evidence for a global male-specific lethal complex-mediated dosage compensation contribution to the demasculinization of the Drosophila melanogaster Xchromosome”. PLoS ONE 2014: e103659. Griffing AR, Lynch BR, Stone EA. “Structural properties of the minimum cut of partially-supplied graphs”. Discrete Applied Mathematics 2014: 177, 152-157. Durham MF, Magwire MM, Stone EA, Leips JL. “Genome-wide analysis in Drosophila reveals age-specific effects of SNPs on fitness traits”. Nature Communications 5, Article 4338. Huang W, Massouras A, Inoue Y, Peiffer J, Rámia M, et al. “Natural variation in genome architecture among 205 Drosophila melanogaster genetic reference panel lines”. Genome Research2014: 24, 1193-1208.