Roberto Lopez
Adjunct Professor at Universidad de Salamanca
Spain
Summary
🤩
Rockstar🎓
Top SchoolRoberto Lopez is an AI researcher, entrepreneur and adjunct professor with a Ph.D. in Artificial Intelligence and over 15 years leading applied machine learning and data analytics across more than 50 international projects. As founder and CEO of Artelnics since 2012 he drives development of production-grade tools such as OpenNN and Neural Designer, and personally contributed core genetic-algorithm functionality to the well-known OpenNN library. He combines academic rigor from positions at Universitat Politècnica de Catalunya and Universidad de Salamanca with hands-on R&D experience dating back to CIMNE and industry placements like Tata Steel. An evaluator for the European Commission, he bridges research, funding strategy and product delivery, frequently moving ideas from grant proposals into open-source and commercial software. Based in Spain, he specializes in making complex AI techniques practical for real-world problems and mentoring the next generation through teaching and supervision. Notably, his background in physics and computational physics informs a quantitative, model-driven approach to ML system design.
10 years of coding experience
11 years of employment as a software developer
Erasmus Student Computer Science, Erasmus Student Computer Science at University of LiverpoolMaster of Science (M.Sc.) Computational Physics, Master of Science (M.Sc.) Computational Physics at The University of SalfordBachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at Universidad de SalamancaUPC Universitat Politècnica de Catalunya
Github Skills (6)
neural-network10
genetic-algorithm10
c-language10
cprogramming-language10
linear-algebra10
machine-learning9
Programming languages (1)
Github contributions (2)
Artelnics/opennn
Nov 2015 - Dec 2022
OpenNN - Open Neural Networks Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1539 commits, 15 PRs, 773 pushes in 7 years 2 months
Contributions summary:Roberto contributed to the implementation of a genetic algorithm within the OpenNN library, focusing on the development of core functionality for inputs selection in neural networks. The contributions include the creation of the population, evaluation, fitness assignment, selection, crossover, and mutation. The work involved modifying and adding to cpp files to include these algorithms.
deep-learningpytorchneural-networkneural-networks
Artelnics/pyopennn
Nov 2018 - Nov 2018
Contributions:9 pushes, 1 branch, 1 tag in 21 days
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