Summary
Alex Cornish is a Senior Computational Biologist based in London with 11 years' experience applying genomics, AI and statistical genetics to oncology and drug discovery. Currently at Owkin, he processes and models MOSAIC—the world's largest spatial multi-omics oncology dataset—to drive internal drug identification efforts, building on prior work translating WGS and Mendelian randomisation analyses at The Institute of Cancer Research. His publications include papers in Nature, Nature Genetics and The Lancet Gastroenterology & Hepatology, reflecting a track record of identifying non-coding drivers and cancer risk factors from large cohorts. Comfortable moving projects from rigorous academic analysis to industry-focused AI pipelines, he has also mentored junior scientists and collaborated with pharma partners like AstraZeneca. An applied mathematician by training, he combines deep statistical rigor with practical machine-learning approaches to make complex genomic signals actionable for drug development.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Bioinformatics, Doctor of Philosophy (Ph.D.), Bioinformatics at Imperial College London
Master of Philosophy - MPhil, Computational Biology, Master of Philosophy - MPhil, Computational Biology at University of Cambridge
Bachelor of Science - BS, Natural Sciences (Mathematics and Molecular Biology), Bachelor of Science - BS, Natural Sciences (Mathematics and Molecular Biology) at Durham University