Hi there! 👋 I’m Marc! I’m currently a PhD student at MIT, where I work on analog hardware that learns**.** The field of Machine Learning has given us a mathematical formulation for learning, and today GPUs evaluate that math via algebra. I want to build Learning Machines: devices that don’t just simulate learning, but that use the physics of our universe to embody it.

I also love photography, techno, reading, dancing, startups, jazz, learning exciting things, and sharing my excitement with others.

Books I’m Reading

Links

Blog

CV

mbacvanski - Overview

Currently

I am interested in building the full stack of intelligence: hardware and algorithms, together.

Recently

Student Researcher at Google Quantum AI!

Graduated from Northeastern University!

Published a paper on reconfiguration algorithms for large atom arrays!

Software Intern at Meta Reality Labs!

[Software intern at QuEra Computing! ](https://mbacvanski.notion.site/Software-intern-at-QuEra-Computing-dcfc980523274f1185e34a4aa0281595)

Research at University of Waterloo’s IQC!