Galadrielle Humblot-renaux is a research-focused postdoc with eight years of experience at the intersection of explainable AI, uncertainty estimation, and NLP, currently working on XAI-CRED for asylum decision-making at Aalborg University. She completed a PhD researching uncertainty-aware deep learning and out-of-distribution detection for computer vision and has a strong practical background in speech and dialogue systems from earlier research roles. Comfortable moving between theory and implementation, she has hands-on experience in PCB and embedded software from robotics projects and has shipped publications and conference work. Her teaching and international experience—designing curricula for middle-school computer science in Egypt and tutoring—underscore a talent for translating complex ideas to diverse audiences. Known to stop for a cat even when busy, she blends rigorous technical curiosity with an approachable, human-centered mindset.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Robotics, Master of Science - MS Robotics at Aalborg University
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at University of Twente
Baccalauréat Général Scientifique, Baccalauréat Général Scientifique at Lycée Franco Allemand, Buc
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Galadrielle Humblot-renaux - Postdoc at Aalborg University