Andrés López-lopera
Associate Professor (Maître De Conférences)
Montpellier, Occitania, France
Summary
👤
Senior🎓
Top SchoolAndrés López-lopera is an associate professor and applied mathematics researcher with 11 years of experience bridging Gaussian processes, stochastic modeling and surrogate modeling for expensive computer codes. He has held academic and research positions across France and Colombia, contributing to uncertainty quantification and signal processing in environments ranging from aerospace labs (ONERA) to university optimization chairs. Andrés is an active open-source contributor to the Surrogate Modeling Toolbox (SMT), where his commits improved multi-fidelity kriging (MFK) and implemented heteroscedastic noise handling—work that reflects practical expertise in robust surrogate methods. His PhD from École des Mines de Saint-Étienne complements hands-on projects on spatio-temporal PDEs and latent force models, showing a mix of theoretical depth and applied problem solving. Based in Montpellier, he combines teaching, research and engineering to translate advanced probabilistic methods into reliable tools for costly simulations. Notably, his background in electrical engineering informs a cross-disciplinary approach to signal and systems problems rarely found in pure-math academics.
11 years of coding experience
10 years of employment as a software developer
Master of Engineering - MEng, Electrical Engineering, Master of Engineering - MEng, Electrical Engineering at Universidad Tecnológica de PereiraDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at École des Mines de Saint-Étienne
Spanish, English, French
Github Skills (9)
mle10
kriging10
machine-learning10
python10
ml10
model-optimization9
scikit8
scikit-learn8
sampling7
Programming languages (2)
Github contributions (5)
SMTorg/smt
Dec 2020 - Jun 2021
Surrogate Modeling Toolbox
Role in this project:
ML Engineer / Data Scientist
ML Engineer / Data ScientistContributions:11 reviews, 41 commits, 9 PRs in 6 months
Contributions summary:Andrés's commits primarily focus on modifying and improving surrogate modeling techniques within the "Surrogate Modeling Toolbox" repository. Their contributions involve adjusting hyperparameters, correcting failures in existing models (MGP and MFK), and incorporating improvements to the MFK model, including the implementation of heteroscedastic noise. The modifications suggest an active role in refining and debugging the surrogate models. Moreover, the user demonstrates expertise by fixing MFK tests and adjusting the model for heteroscedastic noise, which is specific to the repository topics, which indicates the user's deep involvement in the project's development.
multi-fidelitytoolboxmachine-learningdensity-estimationsurrogate-models
anfelopera/lineqGPR
Jul 2018 - Oct 2022
Gaussian processes regression models with linear inequality constraints
Contributions:16 commits, 58 PRs, 89 pushes in 4 years 3 months
regressioninequalityregression-modelsmachine-learninglinear
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