Yukai Yang

PhD Student, Department of Computer Science & Engineering, Texas A&M University TAMU

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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 am currently a PhD student in the Department of Computer Science & Engineering at Texas A&M University TAMU, advised by Professor Yu Zhang and Professor Yang Shen.

Previously, I worked on Uncertainty Quantification for Large Language Models, advised by Professors Tim Rudner and Marco Morucci. I also conducted research on AI Safety for multi-agent systems with Professor Guang Cheng’s group at UCLA, and worked on scientific machine learning for AI4Bio with Professor Ruqi Zhang. I received my M.S. in Statistics from the University of Chicago UChicago, and a Bachelor’s degree (magna cum laude) in Data Science and Mathematics from New York University NYU.

Contact: yukai [at] tamu [dot] edu

News

Jun, 2026 Our preprint “Divide-and-Conquer Attacks on LLM Agents: Orchestrating Multi-Step Jailbreaks in Tool-Enabled Systems” is available on arXiv.
May, 2026 Our paper “A Systematic Assessment of Weak-to-Strong Confidence Prediction in Large Language Models” has been accepted to Transactions on Machine Learning Research (TMLR)!