Ben Bartlett

I am a researcher at OpenAI working on a project which could accelerate AI training on huge GPU clusters. Before my recent switch into AI, I was a physicist working as a quantum computer architect at PsiQuantum, designing a scalable and fault-tolerant photonic quantum computer.

I have a PhD in applied physics from Stanford University, where I designed programmable photonic computers for quantum information processing and ultra high-speed machine learning. Most of my research sits at the intersection of nanophotonics, supercomputing, quantum physics, and machine learning, and basically consists of me designing little race tracks for photons that trick them into doing useful computations.

During my PhD I was an AI resident at Google X, working on an undisclosed project involving electromagnetics, machine learning, and distributed computing. Prior to that, I earned an MS in electrical engineering from Stanford and a BS in physics and computer science from Caltech. If you’re interested, here is my resume/CV.

When I’m not trying to trick photons into thinking or making GPU clusters go brr, you can probably find me playing piano, making math animations, doing LED art projects, writing shader art, blogging about technical stuff, working on random coding projects, or just vibing with my cat.