👋 Hi everyone! I’m a Computer Science Ph.D. student at the University of Pennsylvania, advised by Eric Wong. My research is funded by the NSF Graduate Research Fellowship (GRFP). Before that, I graduated with a B.S. in Statistics and Machine Learning from Carnegie Mellon University (CMU), where I was advised by Prof. Graham Neubig and Prof. Pengfei Liu.

⛳ I was also a student-athlete, playing NCAA Women’s Golf at CMU.

📩 Feel free to contact me about any questions or research/job opportunities you have!

Research

  • 🧠 My current research interests include 1) making AI systems trustworthy and robust [1], [2], [3], [4], and 2) building multimodal AI models that can perceive and reason across images [5],[6] and videos [7],[8].

Selected publications

⬇️ Full publication see here.

Preprint · 2025

Thinking with Generated Images

Ethan Chern†, Zhulin Hu†, Steffi Chern†, Siqi Kou, Jiadi Su, Yan Ma, Zhijie Deng, Pengfei Liu

Paper Code
AAAI AI4Research 2025 · Oral

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation via Agent Debate

Steffi Chern, Ethan Chern, Graham Neubig, Pengfei Liu

Paper Code
COLM 2025

FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu

Paper Code Site

Academic service

🔎 Reviewer: NeurIPS (2024, 2025, 2026), ICLR (2025, 2026), COLM (2025, 2026), AISTATS (2025)

Teaching

  • Fall 2026 Teaching Assistant, Mathematics for Machine Learning
    University of Pennsylvania
  • Spring 2024 Teaching Assistant, Advanced Methods for Data Analysis
    Carnegie Mellon University
  • Fall 2023 Teaching Assistant, Probability Theory
    Carnegie Mellon University