Coty is a Research Professor in the department of Social and Decision Sciences at CMU. She earned a Ph.D. in Management Information Systems from Texas Tech University in 1996.
Coty's research lies at the intersection of Human Behavioral Decision Making and Technology. Her research program is motivated by real-world decision making and by the challenges involved in studying dynamic decision making in the laboratory. Her research is embedded within a theoretical framework that emphasizes the role and development of decisions from experience, the similarity of contexts, and the cognitive abilities of decision makers.
ContactMaria José Rodrigues Ferreira earned her Ph.D in Computer Science and Engineering in 2023 from Instituto Superior Técnico, University of Lisbon (Portugal). Her research focuses on enhancing Social Agents' capabilities to assist people in a more personalized and engaging manner by exploring the intersection of Human-Agent Interaction and technology. Specifically, her work involved user-adapted environments, decision making, and the manipulation of personality traits and biodiversity knowledge.
ContactXiaohong Cai earned her Ph.D. in Psychological and Brain Sciences from Indiana University Bloomington in 2025. Her research examines how context influences human judgment and decision making, with a particular focus on the attraction, similarity, and compromise effects. She is now extending this work to explore how broader contextual structures shape decision processes in human–AI interaction.
ContactGrace Roessling recently earned her PhD in Cognitive Science from Rensselaer Polytechnic Institute. At the DDM Lab, her research focuses broadly on human-machine collaboration, with an emphasis on Human-AI complementarity in two domains: behavioral cybersecurity and disaster management. Both projects involve cognitive modeling and the integration of generative AI to enhance decision-making and coordination between humans and AI systems.
ContactMarko Morrison is an incoming Ph.D. student in Societal Computing through the School of Computer Science at Carnegie Mellon University. His research interests include cyber deception, automated cyber-attack/defense systems, computational cognition, multi-agent systems, and reinforcement learning. He received his Bachelor of Science in Computer Science from the University of Washington at Bothell in 2024, during which he led the Gray Hats Cybersecurity Club. Beyond research, Marko also enjoys playing guitar and boxing.
ContactJeffrey obtained his Bachelor’s and Master’s Degree in Psychology at the University of Pittsburgh. His research interests include information sharing, online privacy concerns, newcomers to groups, and social exclusion. He has previously managed the Privacy Economics Experiments (PEEX) Lab based at the Heinz College, and is now supporting the management of the DDMLab in its daily operation and development.
ContactAnu is a Research Associate at the Social and Decision Sciences Department. She has 6 years of industrial experience in software development. She is a Master degree holder in Cyber Law & Information Security from the Indian Institute of Information & Technology Allahabad. She has completed her Bachelor's in Computer Science from University Institute of Engineering & Technology (UIET), Panjab University, Chandigarh. She is interested in exploring cognitive biases and their applications in the field of cyber security.
ContactDon received his S.B. in Physics from M.I.T., and M.S. in Computer Science from the University of Utah. He works on software supporting researchers in the DDMLab and the Psychology Department's FMS Group. He previously worked in the HCII, and before that a variety of software companies. Outside of work, Don is obsessed with change ringing, an obscure art form that arose in Renaissance England and combines music, sport, and group theory.
ContactVlad Miloserdov is an undergraduate student at Carnegie Mellon University, pursuing degrees in Computer Science and Logic. As a research assistant at DDM Lab, Vlad contributes to the development of advanced simulations designed to model and counter network threats. His work aims to enhance strategic decision-making in complex cyber environments, advancing the field of digital defense. Vlad’s research interests lie in building multi-agent environments that optimize coordination and response in dynamic network settings.
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                                      Jinfeng Lou is a Carnegie Bosch Postdoctoral Fellow. He earned his Ph.D. from The University of Hong Kong, where his research centered on advancing resilience and sustainability within the building and civil infrastructure sector by developing various AI and secured information systems. Within the Dynamic Decision Making Lab, he will explore human-AI collaboration in improving the response and recovery process of urban subway flooding.
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