Founder - Wellfleet Advisors Ltd

William Mayo

RESPONSIBILITY:

Founder

EXPERIENCE:

35+ Years

personal info

With decades of experience at the front line of technology and research, I am dedicated to moving the Life Sciences industry beyond the “Lottery of Discovery” toward The Resolution Paradigm™. Throughout my career as a CIO and senior executive, I have navigated the “Jagged Frontier” of AI, Quantum, and high-performance compute to solve the N-dimensional complexities of human biology. At Wellfleet Advisors, I partner with leaders to execute an Economic Inversion of the R&D value chain—shifting the “failure phase” from the multi-billion-dollar clinical stage to a high-speed research manifold. By leveraging Extrapolated Intelligence™ and first-principles physics, I help organizations treat biology as a computable manifold (O(1)) rather than an unstructured search over an infinite space (O(n!)). My mission is to transform the Clinical Trial from a high-stakes gamble into a Validation Ceremony™ for truths already resolved through Biological Compilation™.

TALK

AI, Biology and Research

The Data Delusion, and a path to Computable Biology

Bill has spent the last 15 years focused squarely on the ultimate compute problem: Human Biology. After leading technology as the CIO of the Broad Institute of MIT and Harvard and serving as SVP of Research Technology at Bristol Myers Squibb, Bill founded Wellfleet Advisors to help the industry move past the R&D lottery and start resolving biological truths. He is the architect of “The Resolution Paradigm,” a framework built on his deep conviction that “Biology is Compute.” Bill is an advocate for grounded world models that solve for disease at the level of first principles. When he isn’t helping companies re-engineer their research model, Bill is learning to play the Irish fiddle, enjoying being a new grandfather, and, working on his book, Being Curious, which explores the mindset needed to navigate the intersection of disciplines targeting this problem.

Key Takeaways From Talk:

Understand the impossibility of the current drug discovery paradigm and a proposal for a different path. Explore specific grounded examples. Come away with a new language for discussing.

Computable Biology: Using “The Resolution Paradigm” to treat human biology as a computer problem.
Grounded World Models: Building first-principles AI architectures to resolve true biological data.
Replacing Legacy R&D: Moving past traditional trial-and-error to fix structural drug discovery flaws.
Agentic Automation: Deploying self-directed AI workflows to re-engineer early stage laboratory research.
Multidisciplinary Integration: Unifying multi-omics datasets by bridging data science and biological fields.
Scientific Innovation Mindset: Cultivating cross-discipline curiosity to lead modern digital health transformations.

Ideal for healthcare leaders, pharmaceutical background, technology professionals, and anyone interested in the possible AI adoption in drug manufacturing.