All registrants may participate in the Contributed Poster Session on June 5th, Monday.

  • As part of the contributed poster session, we are holding a Student Poster Competition. The competition is open to all currently registered students as well as those who completed a graduate degree no earlier than August 2016. Proof of eligibility in the form of a statement from an advisor or department chair is required. To be considered for the student poster competition, you should submit an extended abstract (1-2 pages) by the deadline below. Up to 10 winning entries will be awarded (subjected to the availability of funding). Winners will be announced at the banquet Jun 6th, Tuesday evening.
  • Subjected to the availability of funding, the organizers also intend to provide a small travel stipend to student poster presenters regardless of competition outcome. Please inquire with the conference organizers and provide a letter certifying your student status from your advisor or department chair.
  • The poster session will occur on the same evening as the banquet. Prior to this, a “poster introduction session” will allow interested poster presenters to preview their posters in a plenary session of the conference – this will consist of oral presentations by each poster presenter lasting a few minutes. The goal of this session is to give conference attendees an overview of the work to be shown more fully in the posters. All poster presenters are eligible to participate in the oral presentations, but the organizing committee will prioritize students if the program schedule precludes accommodating all presenters.

If you wish to present a poster during the Graybill Conference, submit an abstract (not exceeding 400 words unless you are participating in the student competition) to by May 1st, 2017. Please also indicate whether you are interested in speaking during the poster introduction session. The conference organizers reserve the right to reject entries if the topic is not suitable for the theme of the conference.


Poster/Speed Session Titles (alphabetically)
Presenter Title Institution/Affiliation
Mohammed Albaqami Transcriptome-wide analysis of SR45-dependent changes in gene expression and alternative splicing revealed a role for this splicing factor in thermotolerance Colorado State University
Farnoosh Aghababazadeh Develop a nonlinear mixed-effects model for modeling ovarian cancer cell lines Moffitt Cancer Center
Amira Abdel-Hameed Global gene expression analysis using RNA-seq uncovered a new role for SR1/CAMTA3 transcription factor in salt stress Colorado State University
Ignacio Alvarez-Castro Fully Bayesian analysis of allele-specific RNA-seq data using an hierarchical, overdispersed, count regression model Iowa State University
Rachel Blumhagen Exploring the Landscape of Allele-specific Expression in Nasal Epithelium of Asthmatic Patients and Simulating Allele-Specific Read Counts Accounting for Correlation University of Colorado
Meng Cao An Optimal Test with Maximum Average Power for Time Course Data of Counts with Applications to RNA-Seq Data Colorado State University
Brian Campbell Genomic Variation in Industrial Hemp, Feral Hemp, and Drug-type Cannabis sativa Colorado State University
Diana Drago-García Role of miRNAs in breast cancer regulatory networks The National Autonomous University of Mexico
Michael Fundator TBA DBASSE of NASEM
William Forrest Statistical models for proteomic analysis of active enzymes Genentech, Inc.
Meera Garg Study of Antidepressant Molecular Structure Leading to Safer Dosing Charter School of Wilmington, Delaware
Jason Grundstad MetaGEO: an R package/R-Shiny mashup app for simultaneously exploring multiple GEO datasets AbbVie Inc.
Stijn Hawinkel A broken promise: microbiome differential abundance methods do not control the false discovery rate Ghent University
Zonglin He Cohort study informatics: methods for comparing data quality from different sources using entropy metrics Fred Hutchinson Cancer Research Center
Aliaksandr Hubin A novel algorithmic approach to Bayesian Logic Regression University of Oslo
Chong Jin Inferring Intra-Tumor Heterogeneity by Jointly Modeling Copy Number Aberrations and Somatic Point Mutations University of North Carolina at Chapel Hill
Eugene Katsevich Multilayer FDR Control for Genetic Association Studies Stanford University
Emily King Bayesian estimation of virus and antibody dynamical model parameters from next-generation sequencing data Iowa State University
Monchai Kooakachai Statistical Foundations of Familial Identification University of Colorado
Shuzhen Kuang Exploring molecular mechanisms of autism spectrum disorder using integrated network analysis Clemson University
Kyunghyun Lee Differences between telomerase activation and ALT based on the G-Networks Rice University
Qian Li Negative Binomial Model-Based Clustering to Determine Cancer Subtypes from RNA-Seq Data Moffitt Cancer Center
Oleg Mayba Empirical Bayesian Approach to High-Sensitivity Variant Calling in Circulating Tumor DNA Samples Genentech, Inc.
Eric Mittman Bayesian nonparametric analysis of RNA-seq data Iowa State University
Jarad Niemi fbseq: An R package for fully Bayesian analysis of RNAseq data Iowa State University
Yet Nguyen Controlling Relevant Covariates By the Addition of Pseudo Variables and Application to Differential Expression Analysis Using RNA-seq Iowa State University
Eric Patterson Studying Gene Copy Number Variation and Glyphosate Resistance Using Genomics in the Weedy Species, Kochia scoparia Colorado State University
Subrata Paul Performance of a Polygenic Risk Score for Generalized Vitiligo University of Colorado
Sangeetha Ratnayake Predicting Disease Causality of Mutations in Human Beta Globin Gene Hokkaido University
Pratyaydipta Rudra Testing Cross-Phenotype Effects of Rare Variants in Longitudinal Studies of Complex Traits University of Colorado
Youngseok Song Assessing the local dependence structures of observations on evolving networks based on Markov random Fields Colorado State University
Megan Sorenson Genome-wide analysis of copy number variation and common facial variation in a large cohort of Bantu Africans University of Colorado
Emileigh Willems Genome-wide Association of Metabolic Syndrome in a Multi-ethnic Study University of Colorado
Mengjie Yao Sparse Canonical Correlation Analysis University of Colorado
Ye Zheng Statistical Methods for Profiling 3-Dimensional Chromatin Interactions from Repetitive Regions of  Genomes University of Wisconsin РMadison