Summary
Guillermo Puebla is an Assistant Professor and cognitive psychologist who blends experimental psychology, mathematical and computational modelling, and AI to study how humans learn abstract relations and generalize across domains. With a PhD from the University of Edinburgh and postdoctoral work at Bristol and Chile’s CENIA, he has published in top journals and helped develop benchmarks that compare deep neural networks to human vision and reasoning. His recent work probes misinformation susceptibility through signal-detection approaches, revealing practical limits of current AI models in emulating human cognition. Active in undergraduate and graduate teaching, public outreach, and policy advising, he brings ten years of interdisciplinary research experience to questions at the intersection of cognition, computation, and society.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at The University of Edinburgh
Master of Philosophy - MPhil, PSYCHOLOGY, Master of Philosophy - MPhil, PSYCHOLOGY at The University of Queensland
Bachelor's degree, PSYCHOLOGY, Bachelor's degree, PSYCHOLOGY at Universidad de Tarapacá