I bring to Distributive two decades of experience developing software and leading development and operations teams. My experience building GPSEE (a pre-cursor to NodeJS) and its complete software ecosystem, working on CommonJS/2.0, and building BravoJS have proven invaluable in my current position.

Trained as a physicist; spend most of my time now on distributed systems and the idea that compute should work like a real, liquid marketplace.

I bring 15+ years of industry experience with another 15+ of enthusiastic computer nerdery to Distributive. I am thrilled by the work we do here and the science being built upon it.

I port and implement Mathematical programs over the Distributive Compute Platform.

Recent Queen's Computer Science graduate, loves a good challenge.

Part of my work at DCP also includes researching new and innovative ways to distribute neural network training.

Specialist in machine learning.