Alex Alves is a statistical genomics and bioinformatics researcher with nine years of experience translating genetic variation into mechanistic insights for precision medicine and public health. Based in London, he has led systems-genetics efforts linking genomic risk loci to genes and pathways, with a particular focus on longitudinal phenotypes such as infant and child BMI—where his work uncovered distinct genetic components across early life. He has combined roles in academia and institute leadership (Imperial, King’s, Surrey, Southampton) with core-facility management and interdisciplinary collaborations spanning mathematics and large cohort studies like Born in Bradford. Alex brings practical expertise in post-transcriptional regulatory analysis and metabolomics, and an uncommon blend of machine‑learning training and deep wet‑lab‑adjacent genomics experience that helps bridge discovery and translational targets.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Bioinformatics, Systems Biology, Metabolomics, Doctor of Philosophy - PhD, Bioinformatics, Systems Biology, Metabolomics at Imperial College London
Master of Science - MS, Artificial Intelligence, Machine Learning, Master of Science - MS, Artificial Intelligence, Machine Learning at Universidade do Porto
Contributions:3 pushes, 1 branch in 1 year 9 months
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Alex Alves - Member at The Institute of Leadership