Frédéric Renard

Research Engineer - Deep Reinforcement Learning

Frédéric Renard is a Research Engineer at InstaDeep, specializing in Deep Reinforcement Learning and Deep Learning for large-scale industrial optimization. They previously worked as a Research Engineer Intern focused on Deep Reinforcement Learning for Biology, where they engineered a high-performance environment for protein design tasks. Frédéric has also held internships as a Machine Learning Engineer at Deepki and an R&D Engineer at Framatome. They hold a Diplôme d'ingénieur polytechnicien from École Polytechnique and a Master of Science in Machine Learning from Kungliga Tekniska högskolan.

Location

Paris, France

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