Overview: Local adaptation to environmental variation (e.g. climatic, edaphic, biotic interactions, etc.) is very common among plant population. Importantly, such local adaptation is often driven by differential physiological responses to environmental stress. For example, high elevation populations may flower earlier than low elevation relatives due to the selection pressures imposed by an early onset of winter conditions. 

How do populations evolve such different responses to environmental conditions? My research takes a comparative approach to answer this question. By construction, analyzing and comparing complete genome sequences of related genotypes, it is possible to infer which genes respond to the environment and cause divergence among populations. 

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Submit your genetics research to Functional and Integrative Genomics! We publish work that spans molecular, computational and physiological perspectives on genomic variation. 

The GENESPACE program will be publicly available soon; if you wish to run it before publication, contact me. 

Find my publications (most are open access) on google scholar​

My R packages and Tutorials on GitHub

qtlTools: an R package that extends Quantitative Trait Locus mapping statistics and visualization. 

​limmDE2: Genome-wide analysis and visualization of differential gene expression made simple. 

goldy: high-throughput processing and visualization of LICOR-IRGA data.