PROFILEMy research interests include modeling high-dimensional “-omic” data. Specifically, creating integrated mod-els of transcriptomic, lipomic, and metabolomic profiles to predict dietary and health outcomes. The applica-tion of my research is for personalized medicine. I am currently a bioinformatics PhD candidate at the Univer-sity of Michigan, and my advisor is Dr. Charles Burant, MD, PhD. Keywords: Biostatistics, Bioinformatics, Me-tabolomics, Personalized Medicine, High-throughput Data, High Dimensional Data, Integrative Physiology, Ki-netic Systems Biology.

EDUCATIONThe University of Michigan, Ann Arbor, MI 48109Bioinformatics, PhD. 2008 - Present.Achieved candidacy May 2009.Advisor: Dr. Charles Burant, MD, PhDCoadvisor: Dr. Santiago Schnell

The University of Michigan, Ann Arbor, MI 48109Biostatistics, MS. 2006 - 2008.Advisor: Dr. Charles Burant, MD, PhD

Case Western Reserve University, Cleveland, OH 44106Economics, Evolutionary Biology, minor in Mathematics, BA. 2002 - 2006.Advisor: Drs. Robert Slonim and Patricia Princehouse

EXPERIENCEResearch Assistant, U of Mich. Dept of Internal Medicine 2007 - PresentGenomic, metabolomic, transcriptomic and lipomic data analysis under the guidance of my advisor, Dr. Char-les Burant. Focus is on the development and validation of systems biological models of metabolic function.

Research Assistant, U of Mich. Dept. of Biostatistics 2006 - 2007Genomic data analysis and bioinformatics under the guidance of Professor Debashis Ghosh. My projects in-cluded modeling changes in gene expression in D. melanogaster using multiple genome-wide studies. Also, microarray data analysis using R and Bioconductor.

Intern, National Institutes of Health, CIT, Division of Computational Bioscience, Bethesda, MD Summer ‘05Exploratory data analysis and modeling under the guidance of Drs. James Malley, Lawrence Brody, and Tyra Wolfberg. I concentrated on several projects involving statistical genomics and feature discovery via machine learning. The data consisted of lists of exons from many species and related sequence information (percent identity, amino acid frequences, etc). We uncovered several novel results using methods of statistical learning machines, specifically Random Forests, and closely related methods for rigorous classification error estimation and model validation.

Erin Rachael ShellmanThe University of MichiganMetabolism, Endocrinology and Diabetes5560 Medical Sciences Research Building II1150 West Medical Center DriveAnn Arbor, Michigan 48109-0674

Tel: 937 321-1129 Web: www.erinshellman.com shellman@umich.edu

Research Assistant, Case Western Reserve University Dept. of Economics, Cleveland, Ohio 2003 - 2006I worked with my advisor, Professor Robert Slonim, in conducting behavioral economic experiments on human subjects. Of particular interest was gender differences in risk aversion and attitudes about fairness.

Research Assistant, Case Western Reserve University Dept. of Sociology, Cleveland, Ohio 2002-2006I worked closely with a group of health care sociologists on a longitudinal study of health outcomes in frail, elderly veterans. My responsibilities included data entry, general research organization and conducting tele-phone interviews with the veterans.

FELLOWSHIPS AND AWARDS1. Omicron Delta Epsilon, economics honors society. Inducted in 2005.2. NIH Training Grant in Cellular and Molecular Basis of Systems Biology. July 1, 2009. The goal of this

training grant is to provide graduate students with broad training in the application of cellular and molecular technique to the study of problems in systems and integrative biology. The training grant is based in the de-partment of Integrative Physiology, but includes faculty from other departments.

SERVICE1. Mentor for young women in math through The Association for Women in Mathematics mentoring program.

PRESENTATIONS“A Systems Biology Approach to Drug-target Discovery in Human Metabolic Diseases”Candidacy Defense. Spring 2009.Materials Available: http://www-personal.umich.edu/~shellman/Papers.html

“An Introduction to R”Biostatistics Brownbag Seminar. Winter and Spring 2007, Winter 2008.Materials Available: http://www-personal.umich.edu/~shellman/R_Talks.html

“Integration of Genomic Data in Drosophila melanogaster”Michigan Student Symposium for Interdisciplinary Statistical Sciences, 2007Materials Available: http://www-personal.umich.edu/~shellman/Papers.html

“Gender Differences in Risk Aversion and Competitiveness”Economics Honors Thesis, 2006.Materials Available: http://www-personal.umich.edu/~shellman/Papers.html

SKILLSProgramming Languages: R, Python, C, C++, SAS

Software: Ingenuity Pathway Analysis, Genomatix, R, Bioconductor, Ggobi, ggplot2, Ubuntu Linux, Mac OS X, Windows, GIMP

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RELEVANT COURSE WORK

Linear Models Probability Theory Survival Analysis

Generalized Linear Models Statistical Inference Categorical Data Analysis

Longitudinal Data Analysis Statistical Genetics Epidemiology

Human Genetics Sequence Alignment/Analysis SAS Programming

Bioinformatics C++ Programming Physiology

Design and Analysis of Clinical Trials

Algorithms in C++ Microarray Data Analysis

PUBLICATIONS

1. Dosch, Joseph, Erin Rachael Shellman, et al. “The Genetic Signature of Pancreatic Cancer Stem Cells.” In preparation.

2. Burant, Charles, Erin Rachael Shellman, et al. “Staged Changes in Gene Expression in Obesity Prone and Resistant Rats.” In preparation.

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