Christophe Dubach Mcgill

Professor Christophe Dubach is an Associate Professor jointly appointed in the Department of Electrical and Computer Engineering and the School of Computer Science at McGill University. He is also a Canada CIFAR AI Chair at Mila – Quebec AI Institute. Prior to joining McGill, he was a Reader (Associate Professor) at the University of Edinburgh. Professor Dubach’s research lies at the intersection of compilers, parallel programming languages, and heterogeneous computing systems. His work focuses on the design and implementation of data-parallel programming models, high-level code generation and optimization for modern parallel hardware such as GPUs and FPGAs, and systematic exploration of hardware and architecture design spaces. A key aspect of his research is the application of machine learning techniques to improve compiler optimization, performance tuning, and hardware–software co-design. Through his work, Professor Dubach aims to bridge the gap between high-level programming abstractions and efficient execution on increasingly complex parallel and heterogeneous architectures. His research contributes to making high-performance computing more accessible, portable, and efficient across diverse hardware platforms. Their research directions are illustrated by key works including "Latent Idiom Recognition for a Minimalist Functional Array Language Using Equality Saturation", and "LAGrad: Statically Optimized Differentiable Programming in MLIR".