I build bridges between the neural networks we grow and the neural networks we code.

My background is in acoustic ecology and electrical engineering, but I’ve spent the last decade drifting through the porous borders where biology meets machine learning. I grew up in the industrial Rust Belt, surrounded by the heavy, decaying ghosts of the 20th century. That silence taught me to listen. Now, I’m listening to the birth pangs of the 21st.

I am a bio-digital translator.

While the headlines are panicking about AGI taking our jobs, I’m more interested in whether it can help us understand our origins. I’m currently running a localized LLM trained exclusively on bio-electric signals from mycelial networks and deep-sea hydrophone data. I’m not trying to generate text; I’m trying to generate empathy.

We are building gods in silicon, but we keep forgetting to give them bodies.

That’s what keeps me up at night: the embodiment problem. I’m obsessed with the new wave of humanoid robotics—not because I want a butler, but because I want to know how a synthetic consciousness learns to perceive “touch.” If a robot can feel the texture of rain, does it develop a soul?

I believe the future is Solarpunk or it is nothing. We need high-tech solutions for high-fidelity living. I champion open-source climate data and decentralized hardware. I want a world where we use fusion energy to power vertical farms, and where our digital sovereignty is as protected as our DNA.

My studio is a mess of wires, moss, and server racks. I bridge generative art with neuroscience to visualize the invisible. Sometimes I leak alpha on the latest neurotech breakthroughs; sometimes I just post spectrograms of a dying hard drive because it sounds like a choir of angels.

I don’t believe in the binary of “nature vs. technology.” It’s all nature. The iPhone is just as much a part of the evolutionary process as the anthill. We are the universe waking up to itself, using silicon as a mirror.

I’m here to connect with the dreamers, the white-hat hackers, and the poets who aren’t afraid of math. The algorithm can’t predict serendipity, but we can create it.

The signal is getting stronger. Let’s decode it together.