I combined my interests in social psychology and computer science by conducting research on data from Dots, which is Bridgewater's real-time, peer-to-peer employee feedback software.
Employed standard data analysis techniques to search the feedback system for cognitive biases -- such as groupthink, in-group favoritism, and out-group homogeneity.
Web Developer Intern
I was a web developer intern at LinkedIn during the summer of 2015, during which I worked on the Brand and Marketing (BAM) team.
I built and open-sourced a plugin for Eyeglass, LinkedIn’s Node-based rebuild of Compass, a Sass authoring framework. I also built out the first component in BAM’s new CMS app to interface with an endpoint inside of LinkedIn’s production fabric.
I was also a finalist (top 15) out of 75+ teams at LinkedIn’s 5th annual Intern Hackday.
Mahzarin Banaji Lab at Harvard University,
Participated in a 4-person initiative within the Banaji lab to develop training modules
aimed at reducing implicit cognitive bias within two Fortune 500 companies.
Led the design of two modules on implicit racial bias within the hiring process.