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AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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Current ViewScientific & BioAI InfrastructureSearch: DevOps
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Scientific & BioAI Infrastructure
I Audited 10 Open-Source Bio-AI Repos. Most Could Produce Outputs. Few Could Establish Trust.
I audited 10 visible repositories. Most could produce outputs. Very few could establish what those outputs meant.
Evidence-aware scientific systems#AI#AI Ethics#AI Alignment#AI Governance#Biomedical#Bioinformatics#Future of Work#LLM#Open Source#DevOps#Scientific Integrity#Prompt Engineering#Github#AI Code#Contextengineering#Architecture#Security#AI Research
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Scientific & BioAI Infrastructure
Bio-AI Repository Audit 2026: A Technical Report on 10 Open-Source Systems
We audited 10 prominent open-source Bio-AI repositories using code inspection and STEM-AI trust scoring. 8 of 10 scored T0: trust not established. Here is what the code actually shows.
Evidence-aware scientific systems#AI#AGI#AI Alignment#AI Governance#Biomedical#Bioinformatics#Mlops#Deep Learning#Machine Learning#DevOps#AI Research#Scientific Integrity#Software Development#AI Code#Contextengineering#Architecture#Security
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Scientific & BioAI Infrastructure
What AI Changed About Research Code — and What It Didn’t
The old bottleneck was writing the code. The new bottleneck is proving that the code still means what the theory meant.
Evidence-aware scientific systems#AI#AI Ethics#AI Alignment#AI Governance#Biomedical#Cognitive Science#Mlops#AI Research#Scientific Integrity#Business Strategy#AI Code#Product Management#DevOps
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Scientific & BioAI Infrastructure
The Paper That Runs Itself: Why AI-Era Research Must Be Code-Native
Literate Programming, DevOps for Research, Research Infrastructure, Continuous Integration, AI Transparency, Scientific Publishing, arXiv Culture
Evidence-aware scientific systems#AI Research#Scientific Integrity