Dr. Naba Rizvi

It's pronounced "nub-buh rizz-vee" | She/her
PhD in Computer Science, UC San Diego '25
born raised blooming

I am a multi-award winning AI researcher working on fine-tuning, evaluation, benchmarking, and prompt engineering for LLM safety and alignment. I have first-author publications at ACL, FAccT, CHI, and CSCW, as well as one under review at EMNLP, and have served as an invited speaker at top conferences including NeurIPS, SigCSE, GHC, and Tapia. I have been featured on both national and international media, reaching 21 nations, and even receiving a commendation letter from former VP Kamala Harris!

Selected First-Author Publications: AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context (ACL '25), "I Hadn't Thought About That": Creators of Human-like AI Weigh in on Ethics And Neurodivergence (FAccT '25), Beyond Keywords: Evaluating Large Language Model Classification of Nuanced Ableism (under review).

Selected Awards: 2024 J&J Lime Connect Finalist, 2023 CS Hero Award, 2020 NCWIT Collegiate Award, 2019 Adobe Research WiT Award, 2018 Google Women Techmakers Award, 5x Hackathon Winner (First Place: 2)

Collaborators: Dr. Imani Munyaka, Dr. Nedjma Ousidhoum, Dr. Andrew Begel (Carnegie Mellon University)

Formerly at Google Health AI (2022), Microsoft Research (2020), Adobe Research (2019)

Research Interests: AI evaluation, benchmarking, safety, and alignment

Contact Me: [firstinitial][lastname]@gmail.com

Check out my dissertation!