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Coty is a Full Professor, tenured in the department of Social and Decision Sciences at ºÚÁÏÕýÄÜÁ¿. She earned a Ph.D. in Management Information Systems from in 1996.

Her research lies at the intersection of human decision-making and technology, with a focus on how people learn and act in dynamic, real-world environments. She studies decisions from experience, emphasizing how context similarity, feedback, and cognitive processes shape behavior over time.

Her work combines laboratory experimentation with computational modeling to address the challenges of studying dynamic decision-making, advancing both theory and applications that improve human performance in complex systems.

Xiaohong 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 humanâ-AI interaction.

Grace 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.

Marko Morrison is an incoming Ph.D. student in Societal Computing through the School of Computer Science at ºÚÁÏÕýÄÜÁ¿. 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  in 2024, during which he led the . Beyond research, Marko also enjoys playing guitar and boxing.

Jeffrey obtained his Bachelor's and Master's Degree in Psychology at the . 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.

Don received his S.B. in Physics from , and M.S. in Computer Science from the . 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.

I am an independent cybersecurity researcher. My personal interests also fall in the intersection of feedback structures, organizational design patterns, and cognitive limits that lead to security vulnerabilities, from which I derive heuristics for what parts of a system are most likely to harbor bugs. At the Dynamic Decision Making Lab, I am responsible for managing the internal server, maintaining PyIBL, and providing software development assistance.

Yuchen Dai graduated from ºÚÁÏÕýÄÜÁ¿ with both a Bachelor's and a Master's degree in Electrical and Computer Engineering. Her work focuses on the American Red Cross (ARC) project, where she develops AI-powered, game-based disaster response simulations to support training and decision-making in dynamic environments. She builds end-to-end systems in Unity and integrates LLM-driven agents with configurable autonomy. Outside of work, Yuchen enjoys making games, painting, and cooking.

Vlad Miloserdov is an undergraduate student at ºÚÁÏÕýÄÜÁ¿, 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.

Aarya is an undergraduate student at Pune Institute of Computer Technology, pursuing a degree in Computer Engineering. Aarya has first authored and published work on contrastive learning in affiliation with MIT, where he worked as a research intern at the CCI Lab. Aarya also worked as a SWE Intern at Google, where he built AI Security and systems meant to prevent prompt injection and jailbreak. Aarya's research interests lie in leveraging knowledge of human cognition to shield state of the art LLMs from advanced jailbreak attempts.

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.