Bailey Flanigan (she/her)

I'm a fourth-year PhD student in the CMU Computer Science Department. I have the pleasure of being advised by Ariel Procaccia.


About me

Research. I do computer science research motivated by the goal of making democratic processes more efficacious and more equitable. On the technical side, I enjoy working with theoretical models and tools from social choice, learning theory, and algorithms. The problems I choose are practice-driven, and I aim for my work to be informed by practice and research from other disciplines. 

Before coming to CMU, I did my BS in biomedical engineering at UW-Madison, where I primarily researched cancer biology. Afterwards, 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 care deeply about teaching and mentoring, and in particular, doing so in a way that is inclusive to students of all identities and backgrounds. During my PhD, I was a leader of the the CS-JEDI project, which entailed the creation of an introductory DEI course that is now required for all first-year PhD students in CMU's CS department. Its curriculum is open-source, highly modular, 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. 

I am funded by a Fannie and John Hertz Foundation Fellowship and an NSF GRFP.

I enjoy communicating my work and talking with students who want to learn more about computer science research, DEI education, etc. Please don't hesitate to reach out!

News

At EC 2023, I will be co-leading (with Kate Donahue, Ezinne Nwankwo, and Maneesha Papireddygari) the inaugural EC Gender Inclusion Workshop (ECGI), which aims to create a space for the support and promotion of members of the EC community who belong to underrepresented genders (website coming soon).

Info

e-mail bflaniga at andrew dot cmu dot edu 

office 6002 Gates-Hillman Center (CMU) 

         5.449 Science and Engineering Complex (Harvard)

links google scholar, dblp, CV