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Current 
Projects

Learn more about some of the projects I am working on and how I am using data science techniques to translate and disseminate large behavioral and fMRI datasets. ​

Investigating the neural contributions of general and specific cognitive mechanisms to false memory formation in younger and older adults 

This project is based out of the Cognitive Aging and Neuroimaging Lab at Penn State. I am implementing univariate and multivariate MRI analysis approaches to investigate both distinct and common neural activity underlying memory errors across different processing domains in younger and older adults.

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My role in the project included task development, team training, data collection (MRI, human response), data management, data wrangling, feature engineering, t-test, regression, and MRI pattern similarity analyses, data visualization, and project dissemination.

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E-Prime 3.0 Experiment Builder - Qualtrics Surveys - MRI & fMRI

Excel - R - MATLab - SPM12 - MRIcroGL visualization - ggplot2 ​

Age differences in recall-to-reject: A case for decreased memory specificity with advancing age

Do older adults have deficits in recollection or just the ability to strategically manipulate recollected information to support accurate memory outcomes? This project is investigating age differences in how recollection supports accepting old information and identifying new information using a large dataset of over 175 participants. ​

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​My roles included project development, data collection (human response), data management, data wrangling, mixed effects modeling (GLMM), data visualization, and project dissemination.

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Psychopy Experiment Building - Qualtrics Surveys - Excel - R - ggplot2

Cognitive training to support memory accuracy in older adulthood

Can we improve older adults' memory accuracy through brief, targeted cognitive training? This project out of the Cognitive Aging and Neuroimaging Lab aimed to address this question, leveraging both behavioral and neuroscientific methods in a sample of over 70 older adult participants. ​

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My involvement in this project included data collection, team training, data management, data wrangling, formal analyses, data visualization, project dissemination.

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E-Prime 3.0 - Qualtrics Surveys - MRI & fMRI - Excel

R - MATLab - SPM12 - MRIcroGL visualization - ggplot2

Spotlight Projects

Involvement in UX

While tenured at the Boys Town National Research Hospital, I collaborated with some of the top cochlear implant researchers in the country to develop a hospital-wide initiative aimed at increasing research involvement and collecting data from children across the nation.

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I employed a variety of UX and data science techniques to push this initiative into production, creating the first collaborative effort of its kind and expediting the timeline of cochlear implant research at Boys Town. 

speech-language-research-boys-town.jpg
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