CONFERENCE SPONSORS


CONFERENCE HOST UNIVERSITY AND GOLD SPONSOR:

Purdue University
Vice President, Office of Research
Bioinformatics Core


 SILVER SPONSORS:


Indiana University
University Information Technology Services
Department of Biology
School of Informatics and Computing
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University of Michigan, Dept of Computational Medicine and Bioinformatics

BRONZE SPONSORS:


The Research Division
of Ohio University
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Department of Computer Science and Engineering
Eck Institute for Global Health
Complex Networks Lab
University of Notre Dame


EXHIBITOR SHOWCASE SPONSOR:

 

Cincinnati Childrens’s Hospital Medical Center
Division of Biomedical Informatics, University of Cincinnati


POSTER AWARDS SPONSOR:


Faculty of 1000


BEST PAPER AWARD SPONSOR:


Springer


INDUSTRY SPONSOR:



University of Michigan Bioinformatics Core
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PerkinElmer


GENERAL SPONSOR:


Purdue University

Agricultural Research

Dr. Robert Gentleman
Principal Research Scientist,
Dept of Data Science at the Dana Farber Cancer Institute

Dr. Robert Gentleman, Ph.D. is a prominent Canadian statistician and bioinformatician, internationally recognized for his pioneering contributions to statistical computing and bioinformatics. He is the co-creator of the R programming language, a foundational tool in modern data science, and the founder of the Bioconductor project, a widely used open-source software platform for biomedical and genomic data analysis.

Dr. Gentleman is the Founding Executive Director of the Center for Computational Biomedicine at Harvard Medical School. Over his career, he has held academic appointments as well as senior leadership positions in industry, including at Genentech and 23andMe.

He has been honored with the Benjamin Franklin Award in Bioinformatics and is a Fellow of both the International Society for Computational Biology and the American Statistical Association. Through his groundbreaking work, Dr. Gentleman has bridged the gap between computer science and biology, transforming how researchers analyze biological data and shaping the future of computational biology.

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