Hello, I'm
Ph.D. in Cognitive Science
Studying how memory and cognition operate in dynamic contexts using behavioral and quantitative methods.
I'm a cognitive scientist studying how memory and cognition operate in dynamic contexts: how people construct, share, and revise memories individually and in groups, and how those processes are shaped by social interaction, time, and the spread of misinformation. I combine 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 a Visiting Assistant Professor at Trinity University in San Antonio, TX, where I teach research methods, statistics, and other courses foundational to the psychology curriculum. I also direct the Collective Memory and Dynamic Cognition Lab, working with undergraduate students to examine cognition in a wide variety of contexts.
I am available to consult on projects in educational technology, product research, learning science, and applied human factors.
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.
Trinity University · 2026–Present
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 design experiments and build analytical pipelines to understand how people and teams learn, share knowledge, and make decisions. This work continues at the Collective Memory and Dynamic Cognition Lab, which I direct at Trinity University. My methods translate directly to UX research, product analytics, learning science, and audience insight.
Memory and cognition aren't static snapshots; they shift with context, time, and experience. I study how remembering, learning, and belief change unfold as people and teams encounter new information, with direct applications to training design and adaptive learning tools.
How do groups build shared understanding, and what emerges from remembering together: convergence, error, or both? I use network analysis and computational modeling to map how team interaction shapes what individuals and groups come to know, recall, and learn next, work that translates directly to team analytics and collaborative tool design.
How does false information take hold in individual and collective memory, and what makes people and groups more resistant to it? My dissertation traced how misinformation becomes embedded in knowledge structures, with applications to content integrity, trust, and decision quality.
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 →I'm on the academic job market for tenure-track assistant professor positions at research-active institutions. I'm also available to consult on projects in ed tech, learning science, and applied behavioral research. Let's connect.