Kayla Britt, M.S. | Life Sciences × Artificial Intelligence Published Scientist • Former Amgen Scholar • Validation Engineer • RLHF/Fine-tuning Specialist

I engineer trustworthy AI systems at the critical intersection of biology, data validation, and machine learning. With a Master's in Physiology and Biophysics and hands-on experience across the entire scientific lifecycle—from NIH research to FDA-regulated pharmaceutical manufacturing—I bring a unique perspective to AI development in life sciences.

Currently, I specialize in Reinforcement Learning from Human Feedback (RLHF) validation for clinical AI systems, where I evaluate and refine AI-generated medical content against clinical standards and best practices. My work ensures that AI models not only demonstrate scientific accuracy but also maintain the safety and reliability required for healthcare applications.

My journey bridges multiple domains:

• Research Foundation: Published scientist with work featured on the cover of Journal of Experimental Biology and highlighted in Phys.org and EurekAlert!

• Industry Experience: Former Validation Engineer II at Kite Pharma (a Gilead company), where I ensured GMP compliance and regulatory adherence for cell therapy manufacturing

• AI Expertise: Trained large language models for Oracle/Outlier.ai, specializing in scientific domains, and now validate clinical AI outputs to improve model performance and safety

I believe the future of life sciences depends on AI systems that are not just intelligent, but accountable. Through rigorous validation frameworks and deep domain expertise, I help organizations implement AI solutions that scientists, clinicians, and regulators can trust.

Core Focus Areas:

• RLHF validation for clinical and biomedical AI applications

• Fine-tuning LLMs for scientific R&D and quality assurance

• Bridging the gap between AI innovation and regulatory compliance

• Developing validation frameworks for fit-for-purpose scientific AI assistants

My Journey

From studying tree frog communication at Gettysburg College to validating cell therapies at Kite Pharma, my career has been driven by a singular focus: ensuring scientific integrity in everything I touch. Today, I apply that same rigor to artificial intelligence, working to make AI systems worthy of the trust we place in them for scientific discovery and patient care.

What I Do

I specialize in three critical areas where biology meets artificial intelligence:

1. RLHF Validation: I evaluate AI-generated clinical content, ensuring outputs meet medical standards and identifying potential safety concerns before they reach end users.

2. Model Training: With experience training large language models for scientific domains, I help AI systems learn the nuanced language of biology, chemistry, and medicine.

3. Validation Frameworks: Drawing from my pharmaceutical validation background, I develop systematic approaches to assess AI reliability in regulated environments.

Why It Matters

As AI becomes integral to drug discovery, clinical decision-making, and scientific research, we need professionals who understand both the promise and the pitfalls. My unique background—combining hands-on laboratory research, GMP validation, and AI model training—positions me to ensure these powerful tools enhance rather than compromise scientific integrity.

Call-to-Action

Ready to make your AI systems trustworthy?

Whether you're developing AI for drug discovery, clinical applications, or scientific research, I can help ensure your models meet the highest standards of accuracy, safety, and regulatory compliance.

I work with:

• Biotech and pharmaceutical companies implementing AI

• Healthcare organizations adopting clinical AI tools

• AI companies targeting life sciences markets

• Research institutions developing scientific AI applications

Get in touch to discuss how we can make your AI initiatives both innovative and accountable.