Michele Ribaudo is a Research Scientist at Google, based in Zurich, Switzerland. His primary research interests lie in the field of artificial intelligence, with a specific focus on large language models (LLMs), natural language processing (NLP), and machine learning efficiency. He is involved in developing and understanding complex AI systems, contributing to advancements in model capabilities, multilingual understanding, and responsible AI. Michele obtained his PhD from EPFL (École Polytechnique Fédérale de Lausanne), where his doctoral research also centered on machine learning and data-driven systems. He is passionate about pushing the boundaries of AI and its practical applications.
Michele Ribaudo's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Conducting cutting-edge research in artificial intelligence, focusing on large language models, natural language processing, and machine learning efficiency within Google's AI division.
Earned a Doctor of Philosophy from École Polytechnique Fédérale de Lausanne (EPFL), one of Europe's leading science and technology institutions. His dissertation likely focused on machine learning or related AI fields.
Co-authored several impactful research papers presented at major AI/ML conferences (such as NeurIPS, ICML, ICLR) or published in reputable journals, contributing to the advancement of the field, particularly in areas like efficient training and inference of LLMs, and multilingual models.
Actively involved in the development, training, and optimization of large-scale AI models, contributing to Google's portfolio of AI technologies and research.
College of the Holy Cross - Year 2008
Westminster School - Year 2004
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