team modeling

Over the summer of 2019, I had the opportunity to pursue research at the University of Michigan Crowds + Machines Lab. As an undergraduate researcher, I worked on a project to design optimal configurations of teams.

Historically, large organizations are structured in a hierarchical manner. Our goal is to see if we can determine a more effective structure for collaboration. I chose this project because I have always been interested in the formation of connections. I wanted to know if there was a way to model the communication concretely.

Over the course of ten weeks, I worked with Dr. Walter Lasecki in deriving mathematical models for communication, task trade-offs, skill improvement, and connection formation. Based on these models, I used d3.js and JavaScript to create a simulator that visualizes performance of teams of workers over time.

After my internship, I will continue exploring the formation of structures. I stayed on as a collaborator, working on the project remotely at school. In the future, I hope to test our method on compelling use cases of real-life teams and organizations.

Due to research purposes, the code is private. For interviewing and recruiting purposes, you can email me to view the code.