About Me

I’m a second year Master in Machine Learning (MSML) student at Carnegie Mellon University. I’m fortunate to be advised by Barnabás Póczos and Pradeep Ravikumar. My research interests span theory and application sides of machine learning, including representation learning theory and AI4Science. In representation learning theory, I’m interested in finding good features that are controllable and interpretable. Currently, I’m working on representation learning for various modalities and tasks, especially tabular data and anomaly detection In AI4Science, I mainly work on AI for molecule generation and optimization using generative models.

I received my Bachelor’s degree in computer science and mathematical science (double major) from the University of Michigan, where I was advised by Dr. Henry Liu in Michigan Traffic Lab. During my time at MTL, I worked on traffic data processing and traffic state prediction/estimation.

Should you share similar interests or consider potential collaboration, please feel free to reach out to me at chenhao4@andrew.cmu.edu or zhangch9012@gmail.com. I’d love to engage in discussions and explore opportunities for collaboration.

Research Interests

• Machine learning theory: representation learning (both theory and application), causal inference, concept learning
• AI4Science: molecule generation and optimization
• LLMs: Transformers, in-context learning

News

• [Jan. 2025] One paper accepted by ICLR!
• [June. 2024] One paper accepted by ICML AI4Science Workshop!
• [Feb. 2024] One paper accepted by Nature Communications!
• [Oct. 2021] One paper accepted by Transportation Research Record!

Publications

Misc.

• I’m from Kunming, Yunnan province, China.
• I was trained in middle distance running.
• I enjoy reading philosophy and history, mainly in Chinese philosophy (Buddhism and Taoism).
• (I love rabbits 🐰 ！！)

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