Rasmus Brandt


I am currently with Google, where I work on video coding in the WebRTC open source media stack for internet-based real-time communications. Prior to joining Google, I graduated with a Ph. D. in Electrical Engineering at KTH Royal Institute of Technology in Stockholm, Sweden.

My research interests are broadly deep learning, statistical machine learning, and applied mathematical optimization. During my Ph. D. studies, I specifically applied these tools to the problem of base station cooperation for capacity improvement in interference-limited wireless networks.