About

Working at the seam of intelligence and resilience.

What do intelligent beings — human, organizational, machine — actually require to flourish under real pressure? That question is the throughline.

An ultra-wide abstract composition on textured paper: smooth architectural thresholds, bridge-like passages, dense flora, network lines, and a fine-line California least tern gliding through the open space.

The throughline

I am Kevin Dickerson. I work on the conditions under which intelligent beings — human, organizational, and machine — actually flourish. I publish that work in three forms: Research (longer, more formal papers), Adaptive Resilience (personal-scale practice and interpretation), and Regenerative Intelligence (the same principles applied to companies and teams).

For two decades I’ve worked across cloud, infrastructure, and change management at large technology companies — increasingly with teams trying to navigate AI without losing what makes their organization worth saving. My background runs from biomedical engineering and machine learning to hyperscale platforms; the constant across all of it is the same question: what do intelligent beings actually require to flourish under real pressure?

Adaptive Resilience and Regenerative Intelligence are my two working answers. Neither is finished. Both are published in the open, revised in the open, and contested in the open.

Heritage

The work I’m building on.

Bio & ML

Biological and technical systems

I bridge biological and technical systems — research in biomedicine, machine learning, and AI/ML platforms for healthcare, as a staff researcher at Carnegie Mellon and the University of Alaska. The stakes in those domains forced precision about what intelligence and adaptation actually mean.

Cloud

Hyperscale cloud engineering

Two decades across Apple, Salesforce, Thoughtworks, and Google Cloud — where I led customer engineering on accelerated computing: racking A100s and H100s, clearing the storage and bandwidth bottlenecks that cap training and inference at scale. I know how the deepest layers of AI infrastructure work, and where they break — and the buyer’s side of the table just as well.

Translate

Bridge between practice and theory

The research only matters if it changes what teams do on Monday. Half of my time is spent making the harder ideas usable by people who don’t have time to read a paper.

Currently

  • Publishing on adaptive systems and the practice of leading through them.
  • Advising companies on AI and Cloud strategy through Loom.
  • Alaskan. Most weeks in the Bay Area, Oaxaca, or México City.

How to reach me

Email is best for serious correspondence.

Or find me on Substack, Bluesky, Threads, 𝕏, or LinkedIn.

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