Hello, I'm
Garrett D. Greeley.
Ph.D. in Cognitive Science
Studying how interactions between people, teams, and AI shape what we learn, remember, and build together.
Hello, I'm
Ph.D. in Cognitive Science
Studying how interactions between people, teams, and AI shape what we learn, remember, and build together.
I'm a cognitive scientist and data-driven researcher who studies how interactions between people, teams, and AI influence learning, memory, and decision-making. My work combines behavioral experimentation, computational analysis, and quantitative methods to answer a practical question: how do we help people and groups think, learn, and perform better?
I hold a Ph.D. in Cognitive Science from Stony Brook University with an Advanced Certificate in Quantitative Methods. Currently, I'm an Assistant Professor at Winona State University, where I teach statistics, research methods, and learning. I've also been invited to present to 100+ faculty on AI and critical thinking, sharing research-informed strategies for integrating AI tools into learning environments effectively.
I'm looking to bring my research skills, technical toolkit, and deep understanding of human behavior to impactful work in educational technology, product research, marketing science, or any team building tools and experiences that help people learn and perform.
I design experiments and build analytical pipelines to understand how people and teams learn, share knowledge, and make decisions. My methods translate directly to UX research, product analytics, learning science, and audience insight.
How do groups build shared understanding? I use network analysis and computational modeling to map the structure of collective knowledge, revealing how team interactions shape what a group knows and how aligned its members become.
Collaboration changes not just what people recall, but what they learn next. My work measures the downstream effects of group interaction on new learning, knowledge retention, and information transfer, with direct implications for training and ed tech design.
When does shared information go wrong, and how does misinformation propagate through groups? My dissertation traced how false information becomes embedded in both individual and collective knowledge structures, with applications to content integrity and trust.
How false information becomes embedded in individual and group knowledge structures, with implications for content integrity, trust, and collaborative decision-making.
Highlights from 9 peer-reviewed publications. * Indicates first/co-first authorship. Full list on Google Scholar →
Downstream Consequences of Collaborative Recall: Testing the Influence on New Learning and Protection of Original Learning
Memory & Cognition
DOI →Collaborative Recall and the Construction of Collective Memory Organization: The Impact of Group Structure
Topics in Cognitive Science
DOI →Social Remembering in the Digital Age: Implications for Virtual Study, Work, and Social Engagement
Memory, Mind & Media
DOI →Six years of experience breaking down complex technical material for diverse audiences, from 500-student lecture halls to hands-on workshops. I design curricula, lead sessions, and build engagement around topics in data, cognition, and AI.
Winona State University · 2025–2026
Stony Brook University · 2019–2024
I was invited to present on AI and critical thinking to 100+ university faculty, leading a session on how AI tools like LLMs can constrain (or enhance) reasoning in learning contexts. I've also mentored six undergraduate research assistants, co-mentored an honors thesis that resulted in a publication, and was selected for an early-career research mentoring program at Winona State.
I'm actively exploring opportunities in ed tech, product research, marketing science, learning science, and higher education. Let's connect.