Summary
Rasmus Brandt is a software engineer based in Stockholm with 11 years of experience and a Ph.D. in Electrical Engineering from KTH, specializing in statistical modeling, mathematical optimization, and distributed algorithms. He spent his doctoral work advancing interference alignment and base station cooperation to boost wireless spectral efficiency, and he now applies that rigorous research mindset to building scalable systems at Google since 2016. His interests span adaptive signal processing, statistical machine learning, and data science, enabling him to bridge theoretical methods with practical engineering. Colleagues appreciate his ability to turn complex mathematical ideas into production-ready solutions and to navigate trade-offs between model accuracy and system performance. Outside of work he keeps a public technical profile at rasmusbrandt.se, signaling an ongoing commitment to sharing insights beyond his day job.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at KTH Royal Institute of Technology
Exchange student, Exchange student at Queen's University
Master’s Degree, Master’s Degree at Uppsala University