writing

thinking about AI in life science

I'm an engineer with domain knowledge in pharma and biotech. This is where I think out loud about where AI actually fits in life science, what's holding it back, and how we push it forward.

the transition log

I'm the engineer who learned to do a bit of everything in highly regulated pharma: compliance, automation, production systems, end to end. I'm repositioning that foundation into MLE: agentic workflows, RAG, evals, tool use, AI safety, guardrails, and production LLM systems. This is my honest, slightly radical transit log, documenting what I learn, what I realize, and feeding a curiosity I don't plan to outgrow.