I made the BROCKHAMPTON infographic depicted above to showcase the diverse roster of creatives that make up the group. BROCKHAMPTON is a musical collective that has risen to prominence over the past few years. Their music is centered around hip-hop and alternative elements, and explores themes of mental health, fame, and representation, among much else. I made this infographic in Adobe Illustrator, with many revisions to each component through a series of critiques from my classmates. I documented much of this process in its own Wix site, and explained many of my design choices in a comprehensive video. This infographic was part of my INFO 362 (Visual Information Design) class.

Player2 is a dating app built to utilize online games as a way to break the ice with potential connections. After spending a semester studying existing dating apps, we saw the need for an app which gave users an easier way to begin bonding. By incoporating cooperative gaming as a core element of this app, we predict that users would not feel the same social paralysis that apps built on open-ended messaging often introduce.

Solstice is an operating system centered around balance and function. Consisting of 15 apps in total, Solstice helps you reach your high points and supports you through your low points through promoting healthy interactions with your device, aiming to limit the feelings of distraction and cognitive overload that often come with modern, oversaturated interfaces.

SportsPrediction is an iOS app for predicting sporting events and competing against other users. In this app, users may see the sports games from the "Big Four" sports leagues (NBA, NFL, MLB, and NHL) on a given day and try to predict the winner. We track the user's prediction results, giving them individualized statistics and visualizations about their performance. If users do particularly well, they can make it onto the global leaderboard for the week, month, or year. We made this app using Xcode in INFO 449 (iOS Development).

For my INFO 201 (Technological Foundations) course, I worked with a team to build an R shiny app studying potential correlations between Google search volume for cryptocurrencies and the cryptocurrencies' prices. Our group wanted to look at the relation of Google keyword search and historical cryptocurrency market prices had on each other. We pulled data resources from various users and locations, cleaned that dataset to fit our study, then hosted our visualizations as shiny app. To answer the question of whether or not higher query hits of cryptocurrency keywords relates to a higher crypto- market value, we built a visualization containing two types of graphs and a filtering section to match the focus of our study and our users.