Hugh Leather, PhD is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh. He is a member of the CARD group and of the Edinburgh ARM Center of Excellence. Hugh received his BSc (1st class hons) in Computer Science from the University of Edinburgh in 1998. He then worked at Microsoft in Redmond as a developer in their JVM and Windows NT groups before moving on to be a senior engineer at Trilogy in Texas. He completed his PhD in Computer Science in 2011 at the University of Edinburgh, extending the boundaries of machine learning in compilers. He was awarded a Royal Academy of Engineering Fellowship in 2009 and a Chancellor's Fellowship in 2012. He has been lecturing at the University of Edinburgh since 2012. Hugh's research is about improving the energy consumption and performance of computers, ranging from mobile systems to data centers. The energy used by the World's computers is staggering and growing exponentially. If we don't do something to fix it we are going to need a nuclear power station on every street corner just so we can all stalk each other on Facebook. Hugh's work often uses machine learning and deep learning to discover new ways to optimize programs and systems. He works on mobile systems, compiler optimization, power and energy optimization, runtime adaptation and dynamic runtime optimization, heterogeneous parallelism optimization, GPGPU optimization, and auto-tuning and machine learning techniques.