Federico Malato is a postdoctoral researcher and machine learning engineer with nine years of experience bridging deep reinforcement learning, causal reasoning for autonomous agents, and practical Python backend and data architecture. Currently at the University of Iowa, he applies AI to neuroimaging while maintaining a side research interest in associative memory mechanisms for RL and advising humanistic research at the University of Eastern Finland’s Linguistics school. His background includes doctoral work focused on RL and an internship in deep RL for computer vision from Universitat Autònoma de Barcelona, giving him strong cross-domain expertise from theory to applied systems. Federico combines academic rigor with production experience from a software engineering role at Fusilli Labs, enabling him to translate research prototypes into deployable solutions. He brings a rare blend of causal-focused RL research and hands-on data engineering, making him effective at both designing experiments and shaping scalable ML pipelines.
9 years of coding experience
4 years of employment as a software developer
Internship Deep Reinforcement Learning for Computer Vision, Internship Deep Reinforcement Learning for Computer Vision at Universitat Autònoma de Barcelona
Laurea Magistrale LM Ingegneria informatica - Intelligent Systems, Laurea Magistrale LM Ingegneria informatica - Intelligent Systems at Università degli Studi di Firenze
Contributions:7 pushes, 1 branch in 2 years 8 months
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