Topological Methods for Plant Phenomics Data

Ananth Kalyanaraman, Washington State University

Usage Details

The undergraduate intern will contribute to the modeling and building of new algebraic topological models and methods for analyzing large-scale plant phenomics data. The scientific objective is to computationally discover novel genomic markers for specific phenotypic performance measures in maize and wheat. The research component will entail algorithm and code development in a heterogeneous parallel environment (MPI, OpenMP, GPU/CUDA), and participating in interdisciplinary collaboration with biologists and mathematician, and engaging in scholarly activities. The educational outcome will entail curriculum development to support a simplified topological data analysis on plant phenomics data.