About Jennifer Kinne
Systems Biology • AI Governance • Epistemic Integrity
Affiliation: Faculty of Arts & Sciences, Harvard University (OEB/MCB Divisions)
I work at the intersection of biology, information theory, and governance, helping life-sciences organizations integrate artificial intelligence ethically and coherently. My approach begins with a biological truth: systems that survive must learn to compress truthfully.
I created EpistemIQ, a patent-pending framework for detecting epistemic blind spots in AI-assisted regulatory and clinical workflows. Its logic extends into a theory uniting biological persistence and machine learning alignment under one informational law. The formal theory is detailed in The Information-Theoretic Imperative: Compression and the Epistemic Foundations of Intelligence (arXiv:2510.25883).
Recent Engagements
- 20+ years advancing risk, compliance, research, and operations in Harvard’s Faculty of Arts & Sciences
- Speaker on ethical AI & clinical operations transformation
- Regulatory Affairs Certification (Devices candidate)
- Participant and Moderator at roundtables, summits, and corporate decision meetings
How I Help
- AI & clinical transformation: audit-ready model oversight, site-selection intelligence, enrollment modeling guardrails
- Regulatory strategy: claims discipline, traceability mapping, FDA/EMA readiness, integrity-by-design workflows
- Governance alignment: risk scoreboards, benefit-realization metrics, adaptive 90-day rollout plans
- Executive enablement: translating complex systems logic into actionable policy and organizational clarity
Research Philosophy
I often say, “I could be wrong.” Not as a signal of doubt, but as a recognition of reality. My aim is not to perform certainty. It is to see clearly, and my hope is that you see clearly as well.
The kind of truth I pursue does not come from consensus or power. It comes from alignment with reality itself. Because reality is larger than any single perspective, I stay open: not from self-distrust, but from a deeper trust in the truth.
My work centers on clarity rather than persuasion. Coercion is easy; clarity is harder. But clarity, grounded in biological and informational truth, is the only force that can reform broken systems without reproducing their errors.
Whether I’m improving oversight, mapping AI risk, or writing about epistemic integrity, my purpose is consistent: to make the systems that shape life more aligned with the reality that sustains it.
Let’s Connect
For collaboration inquiries, speaking, or EpistemIQ briefings:
jenniferfkinne@proton.me