Silviu Filip
Research Scientist at Inria
Rennes, Brittany, France
Summary
👤
Senior🎓
Top SchoolSilviu Filip is a Research Scientist based in Rennes with 11 years of experience building and optimizing numerical algorithms across computer arithmetic, scientific computing, DSP and machine learning, with a consistent focus on performance and energy efficiency. He holds a PhD in Computer Science from ENS de Lyon and progressed through postdoctoral roles at Oxford and Inria before joining Inria as a research scientist. Practically minded, he has contributed to high-profile numerical software like the chebfun project, improving Gaussian Process Regression, minimax approximation routines, and test/hyperparameter workflows to tackle scaling and edge cases. His work blends deep theory with hands-on engineering, addressing both algorithmic robustness and real-world implementation concerns. Colleagues value him for squeezing better accuracy and efficiency out of numerical methods while keeping an eye on energy costs and practical deployment.
11 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Ecole normale supérieure de LyonDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at École normale supérieure de LyonBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universitatea Tehnică din Cluj-Napoca
Github Skills (10)
algorithm10
numerical-optimization10
code-optimization10
algorithms10
numerical-methods10
optimisation10
optimization10
matlab9
hyperparameter-tuning8
testing8
Programming languages (3)
Github contributions (5)
chebfun/chebfun
Dec 2016 - May 2022
Chebfun: numerical computing with functions.
Role in this project:
Data Scientist / Numerical Computing Specialist
Data Scientist / Numerical Computing SpecialistContributions:1 release, 39 commits, 52 PRs in 5 years 5 months
Contributions summary:Silviu primarily contributed to the numerical methods implemented in the Chebfun repository, specifically focusing on Gaussian Process Regression (GPR) and minimax approximation algorithms. Their commits addressed bugs, edge cases, and scaling issues within these core functionalities. Furthermore, the user's work included redesigning tests and modifying hyperparameter optimization related to the GPR implementation, demonstrating a solid understanding of the underlying algorithms and their practical application.
eigenvalueslapacknumerical-computingpythonscientific-computing
sfilip/firpm
Apr 2015 - Jan 2022
A scalable C++ implementation of the Parks-McClellan algorithm for designing FIR filters
Contributions:70 commits, 7 PRs, 53 pushes in 6 years 10 months
parksscalablecppfiltersfir
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