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Daniel A

- Research Program Mentor

MS Master of Science


Financial services, humanitarian aid, public policy

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Voter propensity project

Communication un⩘Breakdown is focused on using technology and data science to help community organizers reach specific populations for an empathy-based citizen engagement program known as “Deep Canvassing.” Leveraging a close relationship with People’s Action, voter demographic data, and responses from former and active Deep Canvass campaigns, we apply supervised machine learning and reinforcement learning techniques for our MVP, “Dynamic and Responsive Targeting System,” or DARTS, to find undecided voters for the 2020 U.S. Presidential Election, and subsequently, the Georgia Senate runoff.

Coding skills

Python, R, AWS, PostgreSQL, SQL, SAS, Stata

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