Adam Dinan is a research-focused computational biologist and data scientist with eight years' experience developing methods for functional genomic annotation. Based at the University of Cambridge and affiliated with the Cambridge Centre for AI in Medicine, he blends statistical genomics, machine learning and bioinformatics to turn large-scale genomic data into interpretable biological insight. His PhD in Computational Biology from University College Dublin underpins a track record of translational research bridging method development and biomedical application. Known for pragmatic tool-building as well as rigorous analysis, he brings both academic depth and hands-on coding practice to collaborative projects in AI-for-health.
8 years of coding experience
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at University College Dublin
Contributions:242 pushes, 1 branch in 3 years 7 months
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