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Stéphanie Le Beuze is an accomplished AI Research Scientist currently working at Google DeepMind in London. With a strong academic background, including a PhD in Computer Science (specializing in Machine Learning) from Inria and Université Paris-Saclay, her work focuses on advancing the frontiers of artificial intelligence. Her research interests often lie in areas such as reinforcement learning, probabilistic modeling, and deep learning. Stéphanie is dedicated to developing innovative AI solutions and contributing to the broader scientific community through research and publications.
Stephanie Le Beuze's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently contributing to cutting-edge research projects at one of the world's leading AI research laboratories, focusing on developing advanced artificial intelligence systems and machine learning models.
Successfully completed doctoral research at Inria and Université Paris-Saclay, with a thesis likely focused on novel machine learning algorithms, possibly in reinforcement learning or Bayesian methods, contributing significantly to the field.
Authored and co-authored multiple research papers presented at prestigious international AI and machine learning conferences such as NeurIPS (Neural Information Processing Systems) and AISTATS (Artificial Intelligence and Statistics), showcasing impactful contributions to the field.
Conducted post-doctoral research at Inria, further developing expertise and contributing to advanced projects in machine learning before joining Google DeepMind.
ESCP Europe - Year 1998
Massachusetts Institute of Technology - Sloan School of Management
CFA Institute (Chartered Financial Analyst) - Year 2007
Formation Axing - Year 2017
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