CV

Programming Languages: Python, C/C++, MATLAB, SQL
Developer Tools: PyTorch, Git, Docker, AMPL, Max/MSP

Education

Ph.D. in Operations Research (with minors in math and machine learning), University of California, Berkeley, 2022 - 2027 (expected)
M.S. in Operations Research, University of California, Berkeley, 2022 - 2023
B.S. in Mathematics and Applied Mathematics, Peking University, 2018 - 2022

Generative AI, Diffusion Models, Controllable Generation, Stochastic Modeling, AI Agents, Agentic Workflows

AI Agent Research Intern, Alibaba DAMO Academy, Jun 2025 - Present
- Designed and implemented a self-correcting AI Agent framework for structured data transformation
- Optimized agent workflow documentation, reducing prompt and output volume by 70-80% while maintaining system performance
Software Development Intern, Shanghai Aizeer Information Technology Co., Ltd., May 2024 - Aug 2024
- Developed real-time driving state recognition algorithm based on iPhone sensors
- Developed generative AI model for controllable symbolic music generation
Graduate Student Researcher, University of California, Berkeley, Sep 2022 - Present
- Heavy-tailed conditional generation via diffusion models
- Constrained sequential experiments research (Track-and-Stop with Constraints on Subpopulations)
- Stochastic modeling via generative adversarial networks

H. Liu, T. Zhu, N. Jia, J. He, Z. Zheng. (2026). "Learning to Simulate from Heavy-Tailed Distribution via Diffusion Model." Operations Research.

Collaborative Pianist, UC Berkeley Department of Music
- Served as a pianist for instrumentalists in annual recitals
- Performed chamber music at noon concerts