Research. I do computer science research motivated by the goal of making democratic processes more equitable and more effective — two goals I believe are, in many contexts, one in the same. I usually work with theoretical models and tools from social choice, AGT, and algorithms, but I work hard to make sure my work incorporates input from practitioners and research from other disciplines, especially political science.
In 2024, I completed my PhD in Computer Science at Carnegie Mellon University, where I was incredibly fortunate to be advised by Ariel Procaccia. Before that, I did my BS in Bioengineering at UW-Madison, where I primarily researched cancer. Between undergrad and graduate school, I spent a few years doing research in economics (Yale), computer science (Drexel), and public health (Philani Nonprofit in South Africa).
Teaching. Within and outside of research, I am passionate about inclusive teaching and mentoring. During my PhD, I led the CS-JEDI project, which entailed the creation of CMU's introductory DEI course for first-year PhD students. Its curriculum is open-sourced and designed to be adaptable to new settings. For details, see the CS-JEDI Project page. For additional resources (some related to teaching and mentoring), see the Resources page.
Funding. I am funded by a Fannie and John Hertz Foundation Fellowship and an NSF GRFP.