Dr
@RegulatoryNet
0000-0002-1685-6909
NA
Daphne
Ezer
Biology, University of York
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ORCID ID
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Positions
Research Summary
Model Systems
Research Methods
We are a plant circadian clock and developmental biology lab that is interested in how plants sense their environments across different time scales. We have deep expertise in the statistical analysis of time series data and in machine learning. Intra-organismal heterogeneity is another area that we are interested in. We apply our work to develop energy-efficient vertical farming solutions.
Arabidopsis or other plants; In silico, AI-driven, or theoretical
Quantitative research; Laboratory research; Basic/fundamental/discovery research; Translational/applied research; Developmental biology; Systems biology; Molecular biology (including genetics and gene editing); Bioinformatics; Ecology and environmental research
Lecturer in Computational Biology
Lab
NA
Personal web
Resources and Tools
Filter the Arabidopsis gene network by time of day, developmental stage and cell type: https://regulatorynet.shinyapps.io/AraLeTA/. Github for code to analyse single plant-omics data; apply functional data analysis methods to circadian data and more: https://github.com/stressedplants/
Industry Partnerships
Vertically Urban
I am happy to be contacted by
Prospective postdocs; Prospective PhD students; Prospective MSc students; Prospective academic collaborators; Prospective industry partners; The media; Funders or charitable organisations; Learned societies; Policymakers or think tanks