Kayla Britt, M.S. Principal, Britt Biocomputing | AI Governance & Scientific Validation

Bridging the gap between Frontier AI capabilities and GxP Compliance.

I know where LLMs break because I'm the one who broke them.

For the past several years, I've been inside the training loops of frontier models; executing high-complexity RLHF for scientific domains, finding the failure modes, and teaching the models to do better. Before that, I was a Validation Engineer at Kite Pharma (Gilead), ensuring GMP compliance for cell therapy manufacturing.

I bridge the gap between "Move Fast" (R&D) and "Don't Break Things" (Quality).

Most consultants offer generic "AI Strategy." I offer Technical Assurance. I help Life Sciences directors navigate the tension between innovation and regulation. I don't just tell you a model works; I provide the audit-ready evidence required to deploy it in a regulated environment.

Background

Research: Amgen Scholar at NIH. Published scientist (Cover of Journal of Experimental Biology). Specialized in computational analysis of fMRI data: applying statistical rigor to noisy biological signals long before "AI" was a buzzword.

Industry: Validation Engineer at Kite Pharma (Gilead). GMP compliance and regulatory adherence for cell therapy manufacturing.

AI: RLHF specialist for scientific domains. I've trained the models your team is probably evaluating right now.

Education: M.S. in Physiology and Biophysics

Core Expertise

• Scientific RLHF: Tuning models for accuracy and reasoning, not just fluency.

• GAMP 5 / CSA Validation: Translating "black box" behavior into inspection-ready documentation.

• Adversarial Stress-Testing: Proactively finding failure modes (sycophancy, data lineage breaks) before Quality Assurance does.

What I Solve for You

• Accelerate Adoption: I unblock pilots stalled by Quality/Legal concerns.

• De-risk Deployment: I validate that your agents respect SOPs and data boundaries.

• Industrialize AI: Moving you from "cool demo" to "production-grade asset."

Who I Work With

I focus on pharma and biotech, but also support health-tech and research teams where regulated thinking adds value.

If you're deploying AI in a context where being wrong has consequences, we should talk.