I’m currently a Ph.D. candidate in Cognitive Science at UC San Diego. I am part of the Center for Human Development and the Center for Multimodal Imaging and Genomics. I work with a large team of researchers and statisticians to analyze complex, multivariate, longitudinal data.
My work focuses on investigating the neural phenotypes underlying visuospatial working memory, response inhibition, and phonological processing using magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) to evaluate cortical thickness, surface area, fractional anisotropy, and mean diffusivity.
This work focuses primarily on looking at the relationship between individual variability in behavior and performance and individual variability in regional brain structure, controlling for influencing factors such as age and gender. A major goal of this work is to better understand the many influences that contribute to individual differences in behavior and performance during typical human development. Results of this work may lead to better preventative care and interventions for children underperforming in specific cognitive areas, allowing each child to better reach his or her potential.
I’m broadly interested in using large repositories of demographic and behavioral data to design more personalized or customized tools for individuals. One major area of interest is personalized education: using online course resources and adaptive algorithms based on past performance to tailor an individual’s education to his or her strengths and weaknesses. I’m also interested in using demographic, behavioral, and health-related datasets to create a better system of personalized health care and disease prevention.