Observed arrival · 2026-10-05
Harry Pink’s journey from lettuce defenses to DNA methylation
A computational biologist and data scientist presents his research, career, and work on machine-learning models for skin-ageing phenotypes.
- For
- Computational biology collaborators and data-science recruiters
- Worth noticing
- The lettuce study sampled infected leaves every three hours and reports that hub regulators switched on before lesions were visible.
Field notes
The experience section lists work across plant genetics, bioinformatics, machine learning, and data engineering, with dates and named organizations. In the research account, time-course RNA sequencing tracks infected lettuce leaves at three-hour intervals, and the page says hub regulators activated before visible lesions. The extract also describes a Nextflow pipeline built from raw FASTQ data and tooling for simultaneous 5mC and 5hmC quantification from BAM files.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
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