Luo Mai

I am an Associate Professor, equivalent to Reader in the UK system, in the School of Informatics at the University of Edinburgh, where I lead the Large-Scale Machine Learning Systems Group. I also co-lead the UK EPSRC Centre for Doctoral Training in Machine Learning Systems and a UK ARIA project on scaling AI compute.

My research focuses on machine learning systems across the full stack, from models and data to runtimes, systems software, and emerging AI hardware. A long-term goal of my group is to rethink the machine learning systems stack so that future AI infrastructure can achieve up to a 1000X improvement in efficiency, scalability, and reliability. Our work combines research publications with reusable open-source systems and libraries, which have collectively received over 20,000 GitHub stars. I also co-edited the open-source textbook Machine Learning Systems: Design and Implementation.

Before joining Edinburgh, I was a postdoctoral Research Associate at Imperial College London, where I worked with Peter Pietzuch, and a Visiting Researcher at Microsoft Research. I received my PhD under the supervision of Paolo Costa and Alexander L. Wolf, supported by a Google Fellowship in Cloud Computing.