Giuseppe Paolo
Research Scientist at Cognizant
Marseille, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolGiuseppe Paolo is a research scientist with a decade of experience at the intersection of AI, robotics and reinforcement learning, holding a PhD from Sorbonne Université and advanced robotics training from ETH Zurich. His doctoral work tackled hard-exploration problems in sparse-reward settings using Quality-Diversity and evolutionary approaches, and he has since focused on model-based reinforcement learning in industry roles at Huawei and Cognizant. Comfortable moving between theory and hands-on systems, he has built robot platforms and implemented ROS/C++ solutions early in his career and now researches algorithms that bridge exploration and sample-efficient learning. Based in Marseille, he blends academic rigor with applied research practice and a curiosity for cross-disciplinary ideas, often seeking novel problem formulations rather than incremental tweaks.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Sorbonne UniversitéMaster of Science (MSc), Robotics, System and Control, Master of Science (MSc), Robotics, System and Control at Eidgenössische Technische Hochschule ZürichLaurea triennale, Ingegneria Elettronica, 108/110, Laurea triennale, Ingegneria Elettronica, 108/110 at Politecnico di Torino
Italian, English, French, German
Github Skills (83)
python10
sac10
marker10
deep-learning10
gpu10
c5110
openai-gym10
single-file10
wandb10
deep-reinforcement-learning10
actor-critic10
gomoku10
reinforcement-learning10
pytorch10
machine-learning10
Programming languages (4)
Github contributions (5)
GPaolo/Billiard
Aug 2019 - Jul 2024
Contributions:14 pushes, 1 branch in 4 years 11 months
GPaolo/taxons
Nov 2019 - Jul 2024
Contributions:6 pushes, 2 branches in 4 years 8 months
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