Artur Negrão
Curitiba, Paraná,Brazil
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Artur Negrão is a accomplished Research Scientist at Google DeepMind, specializing in the theoretical foundations of machine learning and artificial intelligence. His research interests are deeply rooted in reinforcement learning, deep learning theory, optimization, and understanding generalization in AI models. Artur is dedicated to advancing the fundamental understanding of how complex learning algorithms work, with a focus on developing more robust, efficient, and reliable AI systems. His work often involves rigorous mathematical analysis and aims to bridge the gap between theoretical insights and practical applications, contributing to the cutting-edge advancements in the field of AI.
Professional Summary
Artur Negrão's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Significant Contributions to Reinforcement Learning Theory
Authored and co-authored influential research papers in top-tier AI conferences (such as NeurIPS, ICML, ICLR) that advance the theoretical understanding of reinforcement learning algorithms, including their convergence properties, sample efficiency, and stability.
Advancements in Understanding Generalization in Deep Learning
Conducted research providing key insights into why deep learning models generalize well, particularly in overparameterized regimes. His work explores the interplay between optimization algorithms, model architecture, implicit regularization, and data distributions.
Research on AI Safety and Robustness
Contributes to research initiatives focused on AI safety and the robustness of machine learning models, aiming to ensure that AI systems are reliable and behave as intended in complex and potentially adversarial environments.
Development of Novel Optimization Techniques
Explored and developed novel optimization methods tailored for large-scale machine learning problems, contributing to more efficient training of deep neural networks and other complex models.
Educational Background
Pós Graduação, Economia Aplicada
FAE Centro Universitário - Year 2015
Administração Integral (MEP) - Bachelor of Business Administration, Administração de Empresas - Integral
FAE Centro Universitário - Year 2012
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Company Overview
Salvy.Salvy is a B2B SaaS company offering an AI-powered LinkedIn automation tool designed to help sales teams, marketers, and recruiters find relevant leads, personalize messages, and automate outreach campaigns at scale. Their platform aims to streamline lead generation and engagement on LinkedIn, saving users time and improving outreach effectiveness.
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