Ekhine Irurozki
Associate Professor
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolEkhine Irurozki is an Associate Professor at Télécom Paris with a PhD in Computer Science from the University of the Basque Country and over a decade of experience bridging theory and applied research. His work focuses on probability distributions over permutations—especially Mallows models—and on designing computationally efficient sampling and learning algorithms for ranking, matching and biological data. He has a strong background in statistics, algebra and optimization, with earlier contributions to haplotype inference in bioinformatics and practical software engineering experience in security, CAD and medical systems. Based in Paris, he combines rigorous academic research with hands-on algorithm development and a taste for problems where data naturally takes the form of permutations. An understated strength is his track record of translating deep theoretical insights into algorithms suited for real-world, computationally constrained settings.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Cum laude, Doctor of Philosophy (Ph.D.), Computer Science, Cum laude at Universidad del País Vasco/Euskal Herriko Unibertsitatea
English, Spanish, Basque, German
Github Skills (5)
sampling7
ranking6
machine-learning4
python4
inference3
Github contributions (5)
ekhiru/random_perm_inversion
Dec 2015 - Apr 2020
Contributions:6 commits, 5 pushes, 1 branch in 4 years 4 months
ekhiru/statsLearn
Nov 2024 - Jan 2025
Contributions:13 pushes, 1 branch in 2 months
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