How to validate AI claims in scientific R&D
A plausible answer is not the same as a correct one. A practical framework for deciding when AI output in a research workflow can be trusted, and where a scientist still has to look.
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Notes on scientific AI and computational R&D
Practical perspectives on validating AI in research, building computational capability, and making better technology decisions in life science.
The hardest hire in biotech is the person who speaks both languages
Biotechs need someone who can sit between the bench scientists, the software team and the leadership table. Why that bridging role matters more in the AI era, and how smaller companies can get it without a full-time executive.
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