Tailia Malloy is an Associate Researcher at the University of Luxembourg with a decade of experience at the intersection of cognitive science and AI, specializing in reinforcement learning, theory of mind, and NLP-driven personality diagnostics. Previously a postdoc at Carnegie Mellon, she modeled human-AI team dynamics and multi-agent decision making with applications in multiplayer games and cybersecurity. Her PhD work at RPI and collaborative research with IBM on human-inspired reinforcement learning reflect a strong blend of experimental cognitive modeling and applied machine learning. Comfortable across research and engineering, she has built lab software (C++/Qt, Python) and web interfaces (React), which supports her habit of translating theoretical insights into practical tools. Based in Luxembourg, she brings a rare combination of empirical human studies and formal agent-based methods to problems of generalization, constitutionality, and visual learning.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Cognitive Systems: Computer Intelligence and Design, Bachelor's degree, Cognitive Systems: Computer Intelligence and Design at The University of British Columbia
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Rensselaer Polytechnic Institute
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