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Cleotilde Gonzalez is a Research Professor in the Social and Decision Sciences at Carnegie Mellon University. She has published hundreds of papers in peer-reviewed journals and conference proceedings, contributing to a diverse set of fields in Cognitive Science. Her research includes the development of a decision-making theory called Instance-Based Learning Theory (IBLT), and computational models that have applications in cybersecurity, network science, and human-machine teaming. As a principal co-investigator, she has led multi-million dollar collaborative projects involving government and industry, notably through grants from the Army Research Laboratories and the Defense Advanced Research Projects Agency (DARPA). Gonzalez is actively involved in the academic community, having mentored over 30 post-doctoral fellows and doctoral students who have gone on to successful careers in academia and industry. She is a fellow of the Human Factors and Ergonomics Society and has served on editorial boards for prestigious journals including the Cognitive Science Journal and the Journal of Experimental Psychology: General. In her personal time, she enjoys painting and biking.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.