Projects

Preview for Predicting mental health and substance use in adulthood from resilience in adolescence
Project Summary: Bayes. Mediation. Lots of data. In this study I use data from the IMAGEN Study (initial n=2315) to determine if mental health and drug use in adulthood (~age 23) can be predicted by resilience in early adolescence (~age 14). Adolescents are classified into one of …
Preview for Exploring Mental Health Networks
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 …
Preview for Bayesian PCA
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 …
Preview for Character Space & TV Tropes
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 …
Preview for Spotify Top 100 Songs Analysis
I’ve been an avid Spotify user since my younger high-school gaming days (hipster flex), but Spotify only recently started releasing yearly music reviews that summarize the music you’ve listened to throughout that year. After seeing mine for 2020, I wondered how much my music …
Preview for Data Science I Final Project: TV Tropes
This is a project I worked on with another graduate student in Data Science I. We open-sourced the code here: TV Tropes Data Science I Project. The project involved web scraping a large chunk of webpages from TV Tropes, network analysis, and data science!
Preview for Life After: A #NET-COVID Survey of Beliefs
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.
Preview for Prematurity, Mental Health, and Cognition
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.
Preview for Intro to R Workshop
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:
Preview for Cognition and BOLD Signal Related to Early Stages of Puberty
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”.
Preview for ABCD Data Dictionary
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.
Preview for ABCD Brain Analysis Tool
This is the abstract I submitted to OHBM 2020 for the ABCD Brain Analysis Tool. The GUI was built under the guidance of the great Bader Chaarani. We thought about naming it something punny after Bader - i.e. The ABCD BAD Tool - but we couldn’t think of anything appropriate for …
Preview for ABCD Database Builder
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.)