Blog
Notes on AI, program management, and R&D delivery.
Short, practical write-ups from the programs I run and the problems I keep running into, on AI, translational medicine, and digital R&D delivery.
11 Sep 2026
Data Preparation in Multiomics Research: What the Textbooks Do Not Tell You
What data preparation actually looks like in Phase 2 and Phase 3 clinical trial multiomics, from ingestion and cleaning to normalisation, governance, and the data steward, custodian, and owner roles.
3 Sep 2026
Why Data Understanding Comes Before Everything Else
Notes from years as a data steward on the DIKUW pyramid, big data, ground truth, data quality, governance, stewardship, informational bias, and why AI projects fail when this phase gets skipped.
1 Sep 2026
Understanding Biomarkers: A Key to Precision Medicine in Oncology
What biomarkers are, how they are classified, and why they matter in oncology, from molecular and histological markers to liquid biopsy, tumour-agnostic approvals, and where the science is heading.
29 Aug 2026
Why Most AI Projects Fail, and What It Takes to Get Them Right
Most AI projects fail not because the technology does not work, but because organisations manage AI like software instead of a data discipline. On data quality, model drift, evaluation, and the structure that separates AI projects that deliver from those that get quietly shelved.