Adrien Taylor
Researcher (chargé De Recherche, Permanent) at Inria
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolAdrien Taylor is a permanent research scientist at Inria and lecturer at École normale supérieure with 11 years of experience in applied mathematics, specializing in mathematical optimization, numerical analysis and first-order methods. He holds a PhD in computational and applied mathematics and completed an HDR, combining deep theoretical work (award-winning doctoral research) with sustained postdoctoral and research scientist roles in the Sierra team. Adrien teaches across elite French institutions and brings practical R&D experience from industry collaborations, making him adept at translating advanced numerical theory into implementable algorithms. Less obvious: his trajectory blends high-level optimization theory with hands-on mentoring and volunteer tutoring, reflecting strong communication skills alongside rigorous technical expertise.
10 years of coding experience
10 years of employment as a software developer
Master, Wiskundige Ingenieurstechnieken, Master, Wiskundige Ingenieurstechnieken at KU LeuvenMaster, Mathematical engineering, Master, Mathematical engineering at Ecole Polytechnique de Louvain@UCLouvainMathematics, Sciences, Dutch, English, Mathematics, Sciences, Dutch, English at Collège Saint-MichelDoctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Université catholique de LouvainHabilitation à diriger des recherches (HDR), Habilitation à diriger des recherches (HDR) at École normale supérieure
Github Skills (10)
pep10
matlab10
convex10
optimization-methods10
optimization10
python9
methodology9
toolbox9
convergence2
quadratic2
Programming languages (4)
Github contributions (5)
PerformanceEstimation/Performance-Estimation-Toolbox
Mar 2017 - Dec 2022
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Contributions:1 release, 7 reviews, 89 commits in 5 years 10 months
first-order-methodsoptimization-algorithmsaimanalysesnonconvex-optimization
AdrienTaylor/Composite-Performance-Estimation-Problems-first-order-methods
Dec 2015 - Mar 2018
Contributions:6 commits, 5 pushes, 1 branch in 2 years 3 months
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