Since I completed this project, the tech industry has seen an exponential rise in AI-driven products that promise to change the way we do things. However, the core questions for most of these chat-based interfaces remain unanswered – how do these proposed solutions fit in with existing workflows of users?  What are the points where the user needs assistance versus those where they want more control over the output?How do you navigate the biases users have about AI and build trust?

In this project I worked with a team of senior data scientists to understand their workflows and designed a human-in-the-loop framework that was geared towards augmenting instead of replacing the user.  

I experimented with AI branding as part of a class project.

The CGHE is an initiative launched by CDC in 2017 with the goal of co-ordinating hepatitis elimination efforts. Data dashboards on their website are accessed by 1000+ government workers across various countries.

I worked with a UX Researcher to design solutions for information architecture bottlenecks and varying data needs of users.  

Carpooling is one of the more well-known solutions for reducing individual carbon footprints. Despite efforts to encourage carpooling among students, individual permits accounted for only 90% of the parking permits sold at Georgia Tech.

We collaborated with the Parking & Transport Services at GT to understand students' pain points while carpooling. Using storyboards, brainstorming exercises and concept sketches, I followed a structured ideation process to design a carpooling app.