Tyler Malloy

Tyler Malloy is a Research Fellow in the Department of Social and Decision Sciences at Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. His work focuses on the intersection of cybersecurity, cognitive science, and artificial intelligence. He investigates how human decision-making processes can be modeled computationally, particularly in adversarial environments like cyber defense scenarios. His research also explores the application of generative AI to understand user behavior and improve cybersecurity training.

Key research areas include cognitive models of decision-making under uncertainty, adversarial machine learning, and the development of frameworks to measure human-AI interaction in cybersecurity contexts. He has contributed to studies on human-autonomy collaboration in cyber defense teams, detection of generative AI-generated social engineering attacks, and reinforcement learning in multi-agent systems.

Malloy's publications highlight trends in leveraging cognitive architectures to address modern cybersecurity challenges, such as simulating attacker-defender dynamics and evaluating the effectiveness of training programs against evolving threats. His work bridges computational models with real-world applications, emphasizing both theoretical advancements and practical security solutions.

His research has been supported by grants focusing on AI-driven cybersecurity solutions and human factors in technology. Collaborations involve interdisciplinary teams from computer science, behavioral economics, and cognitive neuroscience departments. Malloy is affiliated with CMU's social computing initiatives and contributes to developing next-generation cyber defense strategies through his postdoctoral research.