Choosing the Right Modeling Approach
Evaluating a Bayesian alternative showed that a more complex model is not always necessary when a simpler approach directly addresses the research question.
I study the computational and mechanistic principles underlying human cognition, with a focus on how cognitive systems represent, learn, and adapt. My research combines behavioral data, computational modeling, and Bayesian methods to investigate cognitive processes, particularly in memory and learning.
There are currently no active research projects.
Evaluating a Bayesian alternative showed that a more complex model is not always necessary when a simpler approach directly addresses the research question.
A larger research project showed the importance of keeping Git commits focused and maintaining a clear version history.
A larger research project showed that repository structure should adapt to the size and complexity of the analysis.
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