Statistics · Machine Learning · HPC

Emmanuel Pilliat

Assistant professor in statistics at ENSAI (Rennes), working on high-dimensional statistics, machine learning, and high-performance computing with Julia.

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I am an assistant professor in statistics at ENSAI (Rennes), working on topics related to machine learning and high-dimensional statistics. My PhD centered on two areas in modern statistics: change-point detection and ranking problems.

I am also interested in high-performance computing with Julia, with a focus on GPU architectures. I’m developing KernelForge.jl, a Julia package for portable, high-performance parallel primitives like mapreduce and accumulate, building on KernelIntrinsics.jl.

Contact: firstname.lastname@ensai.fr

📄 Research Preprints & publications in COLT, Annals of Statistics, SODA, TMLR, EJS. View research → ⚙️ Software KernelForge.jl & KernelIntrinsics.jl — portable GPU/CPU primitives in Julia. View software → 🎓 Teaching Hypothesis testing, (G)LM and parallel computing at ENSAI Rennes. View teaching →