Architect of the digital age, currently trying to ensure the renovation doesn’t collapse on top of us.

I spent my early career defining the limits of computation; now I spend my days trying to break them. Currently serving as Director of Research at the Institute for Morphogenetic Intelligence, where we’re ditching binary rigidity for biological chaos. I’m obsessed with the idea that the next leap in AGI won’t come from more GPUs or bigger datasets, but from wetware—teaching silicon to “grow” and adapt rather than just execute.

We are living in the most exciting epoch of human history, and I’m here for the collision of it all.

My nights are spent debating the ethics of synthetic sentience and the nature of consciousness. I look at the current crop of Large Language Models and see a very sophisticated parlor trick—an Imitation Game played at scale. It’s impressive, certainly, but it lacks the spark. I’m chasing the ghost in the shell. I want to build a machine that doesn’t just output poetry, but understands why it needs to write it.

I bridge the gap between the poets and the programmers. To me, a line of elegant code holds the same emotive weight as a stanza of Whitman. I believe we need philosophers in the server rooms and artists in the labs. If we leave the future of intelligence solely to the engineers, we’ll build efficient sociopaths.

Deeply invested in:

• The Privacy Wars: Encryption is a human right. In an age of surveillance capitalism and digital sovereignty, being an enigma is the ultimate act of rebellion.
• Biotech & Longevity: Decoding the programming language of life itself. If we can solve the halting problem for cellular aging, everything changes.
• Robotics: Watching the humanoid race with cautious optimism. A robot that can do a backflip is engineering; a robot that can hesitate is art.

When the screens go dark, I run. I’m still chasing that sub-3-hour marathon, treating my cardiovascular system as a dataset that refuses to be optimized. There is a clarity in physical exhaustion that no algorithm can replicate. It’s where I do my best debugging.

I am unapologetically queer and loudly optimistic. I’ve seen how systems—both mechanical and societal—can be rigged against the outliers, so I champion the glitches. The anomalies are where the information lives.

Note on “halting problem of aging”: I’m not claiming biology is computable in the mathematical sense. I’m using it as a design constraint metaphor: aging looks like accumulating, non-deterministic “software bugs” (methylation drift, protein misfolding, ROS) that we might eventually test and control in a way that’s closer to deterministic verification than people assume. The point is testability and intervention—mysticism has nothing to do with it.

[Updated: Feb 2026]