Ruiyang Zhou

2nd year PhD student

Hello 🙌 I am a 2nd year Ph.D. student at the HUMAIN Lab in the IROM department at UT Austin. My research goal is to understand and build/better control user-friendly LLMs. Please check my website for more information!

Joey Zhou

PhD Student in CS

My background is in machine learning theory, and I’m now expanding into empirical research with a particular interest in LLM post-training. Feel free to reach out if you’d like to chat.

Haotian Zhai

3rd Year PhD Student in ORIE

I’m interested in reliable and efficient agentic systems and combinatorial optimization, with a focus on understanding and controlling the behavior of LLM based research agents and formal reasoning for decision-making.

Fanzhi Zeng

1st year PhD Student

I am interested in LLM Alignment and human-AI collaboration. Willing to do research which facilitates mutual understanding between humans and AI.

Manas Pathak

Undergraduate Researcher

I am interested in evaluating chain of thought reasoning in large language models and in deep reinforcement learning, with a focus on reliability, confidence calibration, and interpretability. My work aims to develop methods that help researchers and practitioners better understand, evaluate, and maintain trustworthy machine learning systems.

Yuehan Liu

Ph.D Student

I am a first-year Ph.D. student, advised by Prof. Liu, Leqi. My research interests primarily focus on Large Language Models (LLMs) and Bandit Theory. I am particularly interested in efficient alignment and reinforcement learning from human feedback.

Shuozhe Li

Ph.D Student

Shuozhe Li is a Ph.D. student in Computer Science at University of Texas at Austin, working on reinforcement learning, LLM reasoning, and robot learning. His research spans RL for foundation models and robotics.

Minchao Huang

2nd Year Masters Student

Hello I am a 2nd master student at the HUMAIN Lab in the ECE department at UT Austin. I am interested in Reinforcement Learning and LLM Reasoning.

Anubrata Das

Postdoctoral Scholar

I am interested in the intersection of Machine Learning and Human-Computer Interaction, specifically focused on developing methods that help human experts understand and maintain appropriate oversight over AI tools. More about my research here: https://anubrata.github.io/

Xingyao Chen

Undergraduate Researcher

I am interested in LLM post-training and reasoning, with a focus on reinforcement learning and understanding how to elicit genuine reasoning capabilities in large language models. My goal is to move beyond surface-level performance toward reasoning that generalizes across tasks and domains.

Jincheng Cao

Ph.D. Student

Jincheng Cao is a Ph.D. student in Electrical and Computer Engineering at the University of Texas at Austin, working on optimization theory and algorithms, as well as LLM distillation and reasoning.