Hi there! đź‘‹
I am currently a [software engineer].
I graduated from the University of Southern California (USC) with an M.S. in Computer Science. Previously, I studied at Case Western Reserve University (CWRU) with a B.A. in Computer Science. I had the opportunity to work with Professors Swabha Swayamdipta, Jieyu Zhao and Morteza Deghani at USC. In my undergraduate, I was mentored by Professors Rakesh Shiradkar, Anant Madabhushi at the Center for Computational Imaging and Personalized Diagnostics (CCIPD).
My research interests are safety, fairness, and transparency in Natural Language Processing (NLP) and Machine learning (ML). Check out my cv.
Previous Works
[Workshop] R. Zuo, J. Zhao. Mind What You Measure For: A Study on Reliability of Prompt-Based Bias Measurement. Proc. The Seventh Widening NLP Workshop (2023)
[Poster] R. Shiradkar, R. Zuo, A. Mahran, L. Ponsky, S. H. Tirumani, A. Madabhushi. Radiomic Features Derived from Periprostatic Fat on Pre-surgical T2w MRI Predict Extraprostatic Extension of Prostate Cancer Identified on Post-surgical Pathology: Preliminary Results. Proc. SPIE, Medical Imaging: Computer-Aided Diagnosis. (2020)
[Preregister] A. Vial, A. Davani, R. Zuo, S. Havaldar, E. Chestnut, M. Dehghani, A. Cimpian Syntactic and Semantic Gender Biases in the Language on Children’s Television: Evidence from a Corpus of 98 Shows from 1960 to 2018.