CV

Research Assistant

University of Michigan, Ann Arbor

Department of Industrial and Operations Engineering, advised by Prof. Raed Al Kontar.

• Graph-aware monitoring for LLM-based agent systems
• Anomaly detection under noisy intermediate signals
• Reinforcement learning and bandit-based routing for adaptive orchestration

Research Assistant

Renmin University of China

Gaoling School of Artificial Intelligence, advised by Prof. Hongteng Xu.

• Generative adaptation of temporal point processes under distribution shift
• Diffusion-based modeling for event sequence generation
• Parameter-efficient fine-tuning with LoRA for cross-domain generalization

Research Assistant

Renmin University of China

School of Physics, advised by Prof. Weimin Wang.

• Neural approximation of the Poisson solver in particle-in-cell (PIC) simulations
• Deep learning–based acceleration of plasma simulation workflows
• Validation of physical consistency within a 1D PIC framework

Research Analyst Intern

Guosen Securities

Developed time-series forecasting and reinforcement learning-based trading strategies.

Investment Banking Intern

Guotai Haitong Securities

Conducted IPO due diligence and contributed to prospectus analysis.

M.S.

University of Michigan, Ann Arbor

Data Science

• GPA: 3.92/4.00
• Coursework: Machine Learning, Causal Inference, Optimization, NLP

B.S.

Renmin University of China

Physics

• GPA: 3.74/4.00
• Coursework: Stochastic Processes, PDE, Linear Algebra, Time Series

Visiting Student

University of California, Davis

• GPA: 4.00/4.00

Generative Adaptation of Temporal Point Processes for Generalizable Event Sequence Prediction and Generation

KDD (under submission)

Proposed a generative adaptation framework for temporal point processes under distribution shift.