Hi, I’m Raj! I’m a CS PhD student at Cornell Tech, advised by Emma Pierson. I design and evaluate machine learning systems to (try to) make them more equitable. My work draws from NLP, AI ethics, and healthcare. Currently, I’m interning with the FATE group at Microsoft Research Montréal.
At Cornell, I am part of the Digital Life Initiative and the AI, Policy, and Practice working groups, which have helped broaden my thinking towards philosophy, law, and information science. Previously, I completed my undergraduate degree in Computer Science at MIT, with minors in Women’s & Gender Studies and Biology. I am thankful to have worked with the Data + Feminism Lab.
I occasionally write things here. I’m very passionate about food (don’t tell my advisor that I sometimes think more about cooking than research), and I occasionally write food-related things on Substack. Finally, it takes a village to raise a PhD student; I am deeply indebted to my village. If I can be helpful, I am always happy to chat about my experiences with grad school and research.
Recently:
- [Jun 2024] I’m interning with the FATE group at Microsoft Research Montréal this summer, mentored by Su Lin Blodgett and Noura Farra!
- [Jun 2024] I’ll be at NAACL in Mexico City! I’m presenting a survey on shifts in LLM publication trends in 2023 in the main conference, and on how LLMs evaluate safety compared to human annotators at the Workshop for Online Abuse and Harms.
- [Dec 2023] Our paper on granular race disparities won a Best Paper Honorable Mention at ML4H 2023!
Selected Work
Annotation alignment: Comparing LLM and human annotations of conversational safety.
Rajiv Movva, Pang Wei Koh, Emma Pierson.
Working paper; extended abstract at WOAH 2024.
[paper] [twitter]
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers.
Rajiv Movva*, Sidhika Balachandar*, Kenny Peng*, Gabriel Agostini*, Nikhil Garg, Emma Pierson.
NAACL 2024.
[paper] [twitter]
Coarse race data conceals disparities in clinical risk score performance.
Rajiv Movva*, Divya Shanmugam*, Kaihua Hou, Priya Pathak, John Guttag, Nikhil Garg, Emma Pierson.
MLHC 2023 (Proceedings) & ML4H 2023 (Findings).
🏆 Honorable Mention, Best Findings Paper 🏆, ML4H 2023.
[paper] [twitter] [Cornell news]
Towards Intersectional, Feminist, Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection.
Harini Suresh, Rajiv Movva, Amelia Dogan, Rahul Bhargava, Isadora Cruxên, Ángeles Martinez Cuba, Giulia Taurino, Wonyoung So, Catherine D’Ignazio.
FAccT 2022.
🏆 Best Student Paper 🏆
[paper] [twitter]