Waseem Hussain
Los Baños, Laguna, Philippines
Summary
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SeniorWaseem Hussain is a quantitative geneticist and senior scientist with eight years of experience applying statistical genomics and modern breeding methods to rice and wheat improvement. He leads IRRI’s global breeding efforts for salinity, submergence, and flooding resilience, integrating high-dimensional genomics, transcriptomics and metabolomics with field evaluation to accelerate genetic gain. His work blends hands-on breeding program leadership with method development—R packages, Shiny apps and novel GWAS models—to translate complex data into deployable varieties for vulnerable Asian and African communities. Trained at the University of Nebraska–Lincoln (PhD) in plant breeding and high-throughput phenotyping, he has a track record of multi-environment QTL mapping, genomic selection and longitudinal image-based analyses. Colleagues know him for bridging cutting-edge analytics and pragmatic breeding pipelines, and for pushing variance-heterogeneity modeling into applied breeding. He is based in Calabarzon, Philippines, and focuses on delivering climate-resilient rice varieties that directly address food security.
8 years of coding experience
Github Skills (7)
visualizations8
data-analysis6
data-visualization5
variance1
genetic1
genome1
bioinformatics1
Programming languages (2)
Github contributions (5)
whussain2/R-for-Plant-Breeding
Dec 2018 - Oct 2022
R for Plant Breeding is open source resource to lear the Plant Breeding and Genetics related data analysis and visualizations
Contributions:19 commits, 18 pushes, 1 branch in 3 years 10 months
data-analysisvisualizations
whussain2/ShinyAIM
Jun 2018 - Dec 2018
Application for Interactive Manhattan Plots and Phenotypic Data Visualization
Contributions:2 releases, 88 commits, 1 PR in 6 months
data-visualization
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