Iris Xia | Yale University

About Me

I’m a second-year Master’s student in Computer Science at Yale University, advised by Professor Alex Wong. My research focuses on computer vision and machine learning, particularly 3D perception and depth estimation. I have also worked on medical imaging and the clinical applications of foundation models. Before Yale, I conducted research on efficient convex optimization of fairness-aware objectives at UMass Amherst, advised by Professor Yair Zick.

Broadly, I enjoy problems at the intersection of theory and practice, and I’m especially interested in developing machine learning methods that interact with the physical world and create a positive impact on people’s lives.

Research Interests

Computer Vision: depth estimation, 3D perception
Machine Learning
Natural Language Processing

News

[Aug. 2025] Our paper on stepwise medical calculation is accepted to EMNLP 2025 Main.

Publications

EMNLP

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations

Iris Xia*, Benlu Wang*, Yifan Zhang, Junda Wang, Feiyun Ouyang, Shuo Han, hong yu, Zonghai Yao (* indicates equal contribution)

The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

Oral