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Personal profile

Research Interests

Computer Systems, Machine Learning, and Data Management

Qualifications

PhD in Computer Science, Imperial College London, UK, 2018.

Biography

Luo Mai is a Reader (Associate Professor) in the School of Informatics at the University of Edinburgh, where he leads the Large-Scale Machine Learning Systems Group. He also co-leads the UK EPSRC Centre for Doctoral Training in Machine Learning Systems and a UK ARIA project on Scaling AI Compute.

His research group works across the full stack of machine learning systems—from models and data to systems and software—pursuing co-designs that can collectively achieve a 1000× leap in efficiency, scalability, and reliability. His work has been recognized with research awards and rising-star honors from both academia and industry. He is passionate about open-source and knowledge exchange, and has co-founded open-source AI system libraries that have collectively received over 20,000 GitHub stars, as well as co-edited the open-source textbook Machine Learning Systems: Design and Implementation.

Before joining Edinburgh, he was a Research Associate at Imperial College London, working with Peter Pietzuch, and a Visiting Researcher at Microsoft Research. His PhD, supervised by Paolo Costa and Alexander L. Wolf, was supported by a Google Fellowship in Cloud Computing.

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