This is a brief project where I look at mental health symptom networks in a large sample of youth from the ABCD Study for the course Principles of Complex Systems. I was largely inspired by the work being done by Denny Borsboom and company using network analysis to study mental health. There is still a lot of work to do, but the report for the class can be found here.
Check out this awesome paper for more on applying complex systems thinking to psychopathology!
This is a project I worked on for my Bayesian Statistics course. My partner and I explored Bayesian Principal Component Analysis (BPCA) as an extension of PCA and PPCA on MNIST and an ecological dataset. I learned quite a bit about PCA in the process! The final report can be found here.
This is an exploratory project I worked on with another graduate student in Data Science II. We explore the space of personality in fictional characters using data from OpenPsychometrics. The bulk of the project was spent on probing and describing the space using dimensionality reduction with SVD. A link to the full work is here.
The Life After project is a survey of beliefs about what people believe the world will look like after the COVID-19 pandemic ends. I created an interactive website to show the results of our analyses using R and Shiny.
The motivation:
COVID-19 is one of the largest pandemics of the century. It will have lasting effects on society around the globe. There has been a great deal of speculation about what those effects may be. But, there has yet to be an assessment of what individuals believe the effects will be. This study aims to create a picture of the world after the pandemic, from the perspectives of individuals across the globe. The survey collects anonymous information about socio-demographic and individual characteristics, and asks questions regarding your beliefs about the future behaviors of yourself and others.
This is a project examining the effect of premature birth on mental health and neurocognition in a large sample of youth from the ABCD Study.
Below is an interactive HTML page using R Markdown for the analyses and visualization. The source code is posted here and there is an interactive Rmarkdown page here as well.
These are some slides for an introductory R and Tidyverse workshop I lead for undergraduates and graduate students working in our lab. We ran 4 workshops total:
This is the project I presented at the OHBM 2019 conference in Rome - “Differences in Cognition and BOLD Signal Related to Early Stages of Puberty”.
I built a searchable data dictionary and ABCD release notes all in one place, which addresses some of the navigational issues I had with NDA’s data dictionary.
Unfortunately I can’t show the app’s source code due to confidentiality, but this is a GIF demonstrating what it does.
Built using R and Shiny. Data pulled from NDA website.
This is an app I built in Shiny to help ABCD Researchers download ABCD datasets (Unfortunately I can’t show the app due to confidentiality, but the source code is here.)
Here is a GIF demonstrating some of the app’s functionality.
You can select which spreadsheet(s) you want to download, specific variables from the spreadsheets, which visits to include, and what to name your file.
Developed with R and Shiny.