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Advanced Computing in Biological Networks: Modeling and Inference Workshops

Join Professor Ananth Grama from Purdue University for an enlightening workshop focused on the intersection of parallel computing, computational biology, and advanced mathematical techniques. Explore innovative solutions for high-throughput network inference and modeling as well as spatiotemporal up- and down-scaling of biological networks. The workshop will highlight methods for integrating genomic, phenotypic, and interaction data, addressing the challenges faced in contemporary computational engineering and sciences.

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Advanced Computing in Biological Networks: Modeling and Inference Workshops

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  1. Pathways, Cells, and Organelles Name: Ananth Grama Title: Professor of Computer Science Employer/Affiliation: Purdue • Current Area of Research Interest • Parallel Computing • Computational Biology/Bioinformatics • Computational Engineering and Sciences Challenges that May be Addressed with Advanced Computing and Mathematics Capabilities • High throughput network inference and modeling • Spatiotemporal up- and down-scaling of networks • Integration of individuals genotype (SNPs, etc.), phenotypic, and interaction data DOE/Office of Science Graphic Name of Workshop Date

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