Yukai Yang
MS Student, Statistics Department, University of Chicago
Hi there! I am Yukai Yang. I am a researcher developing reliable and interpretable machine learning methods for AI for Biology, focusing on the intersection of representation learning and uncertainty quantification.
I work on scientific machine learning, with a specific interest in AI4Bio. Currently, I am leading research on reliable molecule generation, supervised by Professor Ruqi Zhang.
Previously, I worked on Uncertainty Quantification for Large Language Models, advised by Professors Tim Rudner and Marco Morucci. I also conducted research in AI Safety for multi-agent systems with Professor Guang Cheng’s lab at UCLA. I received my M.S. in Statistics from the University of Chicago. Prior to that, I graduated with a Bachelor’s degree (magna cum laude) in Data Science and Mathematics from New York University.
I am applying for a PhD in AI/ML starting in Fall 2026. Please feel free to reach out if you are interested in my research!
Contact: yy2949 [at] uchicago [dot] edu
News
| Oct, 2024 | Our work on weak-to-strong confidence prediction is accepted by NeurIPS workshops! |
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Selected Publications
* denotes equal contributions-
Divide-and-Conquer Attacks on LLM Agents: Orchestrating Multi-Step Jailbreaks in Tool-Enabled SystemsIn Preprint, 2025Under Review -
Weak-to-Strong Confidence PredictionIn NeurIPS 2024 Workshop on Statistical Foundations of LLMs, 2024Workshop Paper