My research examines the promise and limits of AI/ML-based tools to study sensitive topics of substantial interest to the public. I study policing, specifically how two-way radio use relates to officer coordination and behavior. My work seeks to clarify what happens before and during officer encounters with the public by converting unstructured radio transmission data into structured data for study of how policing operates in practice. My goal is to help others make sense of police use of radio as an understudied sociotechnical system critical to policing.

Since little work has explored how officers use two-way radio in practice, much of my work involves navigating the notable lack of legal guidelines covering publicly available data which, nonetheless, contains sensitive information about members of the public.

My aspirations include (a) development of decentralized participatory data governance policies, with initial focus on policing data; (b) deployment of explainable models for processing unstructured policing data, specifically radio transmissions; (c) engagement with community members to determine standards for responsible access to policing data and identify research questions that address the needs and concerns of local residents.

I am currently on the tenure-track faculty job market, but I also love to do time-bounded projects!