The following are the winners of the 2019 MIDAS symposium poster competition.

Category Abstract Title Authors and Affiliations
Innovative Use of Data TransPRECISE : Proteomics-based Network Modeling of Pan-cancer Human and Cell Line Interactome Rupam Bhattacharyya, Department of Biostatistics, University of Michigan

Min Jin Ha, Department of Biostatistics, The University of Texas MD Anderson Cancer Center

Qingzhi Liu, Department of Biostatistics, University of Michigan

Veerabhadran Baladandayuthapani, Department of Biostatistics, University of Michigan

Innovative Use of Data Predicting Chromatin Organization at Nucleosome Resolution Fan Feng, Department of Computational Medicine and Bioinformatics

Jie Liu, Department of Computational Medicine and Bioinformatics

Most Interesting Methodological Advancement Leveraging Gene Co-expression Patterns to Infer Trait-Relevant Tissues in Genome-wide Association Studies Lulu Shang, Department of Biostatistics

Jennifer A. Smith, Department of Epidemiology, Survey Research Center, Institute for Social Research

Xiang Zhou, Department of Biostatistics, Center for Statistical Genetics, University of Michigan

Most Interesting Methodological Advancement Parsing latent factors in high dimensional classification Yujia Pan, University of Michigan

Johann Gagnon-Bartsch, University of Michigan

Most Likely to Make an Impact in the Field Regression Analysis of Dependent Binary Data for Estimating Disease Etiology from Case-Control Studies Zhenke Wu, Biostatistics, University of Michigan

Irena Chen, Biostatistics, University of Michigan

Most Likely to Make an Impact in the Field Incorporating Patient Subgroups During Surrogate Endpoint Validation Emily Roberts, Department of Biostatistics, University of Michigan

Michael Elliott, Department of Biostatistics, University of Michigan

Jeremy Taylor, Department of Biostatistics, University of Michigan

Most Likely to Make a Societal Impact Profit for You and Me: Exploring Ad Servers on Fake News Sites Lia Bozarth, School of Information, University of Michigan

Ceren Budak, School of Information, University of Michigan

Most Likely to Make a Societal Impact Natural Language Processing approaches to detect mentions of drugs and adverse events in tweets Deahan Yu, School of Information, University of Michigan

V.G.Vinod Vydiswaran, School of Information, Department of Learning Health Sciences, University of Michigan

Best Overall Poster TransPRECISE : Proteomics-based Network Modeling of Pan-cancer Human and Cell Line Interactome Rupam Bhattacharyya, Department of Biostatistics, University of Michigan

Min Jin Ha, Department of Biostatistics, The University of Texas MD Anderson Cancer Center

Qingzhi Liu, Department of Biostatistics, University of Michigan

Veerabhadran Baladandayuthapani, Department of Biostatistics, University of Michigan

The following are the winners of the 2019 MIDAS symposium data challenge competition.

Award Type Company Team Members
Challenge Winner General Motors #14 Aditya Tewari, Engineering
Challenge Winner JD Power #2 Soumik Purkayastha, Biostatistics
Lyna Truong, Sociology
Mukai Wang, Biostatistics
Tian Xie, Biostatistics
Challenge Winner Walter P. Moore #10 Kidus Tibebu Asfaw, Statistics
Eric Chen, Engineering
Wen Si, Engineering
Best Presentation Award General Motors #14 Aditya Tewari, Engineering