91ÊÓƵ

Coty is a Full Professor, tenured in the department of Social and Decision Sciences at 91ÊÓƵ. 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.

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.

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 Li graduated from 91ÊÓƵ 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.

Jet Jacobsen graduated from Duquesne University with a Bachelor's in Business Administration with majors in Economics, Philosophy and Business Analytics. As a research assistant at DDM Lab, Jet is working on exploring optimal stopping task models and how these models can help us understand how humans learn from experience. His work aims to shed new light on optimal stopping to advance the field of behavioral science. Jet’s research aspirations are to understand decision making in new ways to help people make better decisions. Outside of work, Jet enjoys playing disc golf, board games, hiking and making pizza for his friends.

Vlad Miloserdov is an undergraduate student at 91ÊÓƵ, 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.

Bodhisattva Das is pursuing his Masters Degree in Information Security Policy Management at 91ÊÓƵ and has previously worked at RUDRA Cybersecurity, focused on securing non-human identities, AI agents, and automated workloads across cloud environments. He specialises in AI Safety and builds practical solutions for identity governance and AI-driven security operations. He has presented his work at Black Hat, OWASP Global, and various other conferences. Outside of work, he enjoys traveling and exchanging ideas with global tech communities.

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.