I am a Research Scientist at Meta FAIR (NYC) in the AI & Society group. My research focuses on designing machine learning systems for pluralistic environments, i.e., designing systems that are effective even when interacting with people who hold diverse and differing viewpoints. I received my BS and PhD in EECS from UC Berkeley where I was advised by Anca Dragan and Moritz Hardt. I prefer they/them pronouns.

Selected Publications

See all publications here.

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
Lily Hong Zhang*, Smitha Milli*, Karen Jusko, Jonathan Smith, Brandon Amos, Wassim (Wes) Bouaziz, Manon Revel, Jack Kussman, Lisa Titus, Bhaktipriya Radharapu, Jane Yu, Vidya Sarma, Kris Rose, Maximilian Nickel. 2025.
[paper] [data]

Representative Ranking for Deliberation in the Public Sphere
Manon Revel*, Smitha Milli*, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel. ICML 2025.
[paper]

Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media
Smitha Milli, Micah Carroll, Yike Wang, Sashrika Pandey, Sebastian Zhao, Anca Dragan. PNAS Nexus 2025.
[paper] [pre-registration] [code & data]