Glassbox Bio is the independent verification layer for AI-designed biology. As AI makes it easier to generate biological targets, hypotheses, and candidate programs at scale, the limiting factor is no longer idea generation. It is decision quality. Glassbox Bio helps biotech teams, investors, and strategic partners assess what is credible, what evidence is missing, and what should advance before wet-lab time, capital, or execution resources are committed. The company delivers molecular diligence, translational risk assessment, and decision-support workflows for high-stakes biology. Its purpose is to reduce avoidable error in how AI-generated biology is evaluated, prioritized, and advanced. Rather than generating more biological content, Glassbox Bio focuses on independent verification. Its outputs are designed to surface decision-critical uncertainty, evidence gaps, and translational risk in a form that can support real operational, technical, and investment decisions. Each completed audit produces a cryptographically verifiable artifact designed for provenance, traceability, reproducibility, and defensible review. This gives teams a stronger basis for understanding what was analyzed, how it was analyzed, and whether the resulting decision packet is trustworthy. Glassbox Bio supports workflows including early program diligence, pre-wet-lab evaluation, investor and partnership review, and secure internal assessment of AI-enabled biology programs. The platform is available through Google Cloud Marketplace as Kubernetes applications that run inside the customer environment with no data egress, supporting secure deployment for sensitive scientific and commercial environments. Glassbox Bio is building toward a future where verification becomes a standard control layer between AI-generated biology and downstream execution.
Bachelors of Science in Kinesiology
Bachelor's Degree
Aug 2006 - May 2010