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Federico Mele-Cormier is an AI Research Scientist with a strong background in reinforcement learning, robotics, and deep learning. He completed his Ph.D. at Mila - Quebec AI Institute and Université de Montréal, where his research focused on developing more efficient and robust reinforcement learning algorithms, particularly for complex decision-making tasks in robotics and multi-agent systems. Federico is passionate about building intelligent agents that can learn from interaction and adapt to dynamic environments. His work often involves bridging the gap between theoretical advancements in AI and practical applications, aiming to create systems that can solve real-world problems. He has contributed to various open-source projects and actively shares his insights through publications and online platforms.
Federico Mele-Cormier's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully completed doctoral research focusing on sample efficiency and generalization in deep reinforcement learning, contributing novel algorithms and theoretical insights to the field under the supervision of renowned researchers.
Authored and co-authored several research papers accepted at prestigious AI/ML conferences such as NeurIPS, ICML, and ICLR, showcasing significant contributions to reinforcement learning, meta-learning, and continual learning.
Contributed to the development and implementation of novel reinforcement learning algorithms, including work on hierarchical RL, model-based RL, and exploration strategies, often with applications in robotics and simulated environments.
Actively contributed to and maintained open-source projects related to machine learning and reinforcement learning, facilitating research and development within the broader AI community.
Delivered presentations and invited talks at various academic and industry workshops and seminars, sharing his research findings and insights on cutting-edge AI topics.
The Wharton School - Year 2018
Boston University - Year 2011
Boston University - Year 2011
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Genie AI is an AI-powered legal tech company that provides lawyers with a platform to draft, negotiate, and review legal documents more efficiently. Users can access a vast library of market-standard clauses, understand market trends, and leverage AI to identify missing or unusual provisions, ultimately aiming to save time and reduce risk in legal contract work.
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