Projects

AI-powered learning reflection analyzer that predicts exam performance and provides personalized improvement strategies.

leveraging NLP and multivariate pattern recognition to relate neural mechanisms to semantic interference

manipulating experimental variables to precisely examine how the structure of learning determines how that learning strenghtens or warps existing memories

observing and being observed by fellow teachers across the university

leveraging non-linear multilevel Bayesian models to uncover novel sources of variance across subject behavior with theoretical and clinical relevance

exploring effects of theta/beta power of students wearing a mobile EEG headset during class

maintaining a discipline-based community of teachers within the department of psychology

A data-driven approach towards the long-standing, impactful issue of whether separate regions of the hippocampus naturally process representations at differing levels of granularity

uncovering patterns of bias and making recommendations of how it can be reduced

developing a package to acquire and deliver theta/beta bandpower from the proprietary api