Hello! I’m Rebecca Dorn, a fifth-year PhD candidate in Computer Science at the University of Southern California. I'm co-advised by Professors Kristina Lerman and Fred Morstatter. My summers have been spent with Amazon and ISI’s STEM summer program. Prior to USC, I studied Computer Science at UC Santa Cruz.

My research develops evaluations and interventions to ensure that language models are safe and reliable for all users, regardless of demographic background. This work is designed using online information ecosystems and community input, promoting investigations that are grounded in natural language and user-identified disparity.

I am currently seeking full-time Applied Scientist and Research Scientist roles in large language model evaluation, fairness, and modeling. Let's connect! Feel free to take a look at my academic CV and reach out to me at rdorn[at]usc[dot]edu.

Recent News

Nov 2024 Had an incredible time at the EvalEval symposium, where I presented ongoing work about the transferability of dialect bias mitigation techniques between subjective datasets.
May 2025 Started my internship with Amazon Science, where I'm building a human-in-the-loop evaluation agent for newly generated content.
Apr 2025 This month, I'm honored to be a speaker at Microsoft's GLEAM lecture series about LGBTQ+ in Cybersecurity research, and Mila's Fairness and Transparency in AI (FATE) Seminar.
Dec 2024 The Center for Democracy and Technology uses QueerReclaimLex to help highlight intersectional disparities in content moderation. (Someone pinch me I'm dreaming)
Nov 2024 Wow, our OATH-Frames paper received an outstanding paper award at EMNLP 2024! I've learned so much from this interdisciplinary project. Kudos to my hardworking collaborators!