Machine Learning · Data Science · LLM / Agent Systems
Causal Inference · Dynamical Systems · AI for Science
M.S. in Artificial Intelligence @ Jilin University
Open to internship opportunities in ML, Data Science, LLM / Agent Systems, and AI for Science.
I am an M.S. student in Artificial Intelligence at Jilin University, working across machine learning, causal modeling, dynamical systems, and LLM systems.
My current research focuses on learning causal gene regulatory networks from perturbation and multi-omic data by combining biological priors, causal response modeling, and stochastic dynamics. In parallel, I build and study LLM / agent systems, with an emphasis on reliable workflows, evaluation, and research engineering.
- Machine Learning & Data Science — statistical modeling, optimization, experimentation, evaluation, and scientific data analysis
- LLM & Agent Systems — tool use, agent workflows, retrieval, orchestration, automation, and evaluation
- Causal & Dynamical Modeling — causal discovery, perturbation modeling, stochastic dynamics, and stability-constrained learning
- AI for Science — computational biology, gene regulatory networks, and multi-omic modeling
Research on recovering causal regulatory structure from perturbation and multi-omic data using causal response modeling + stochastic dynamical systems + biological priors.
Research collection accompanying work on Graph Engineering for LLM agents, spanning model intelligence, individual agents, and system-level intelligence.
Automated AI research intelligence system for tracking researchers, papers, and open-source developments with LLM-assisted analysis and GitHub Actions.
Systems-oriented reconstruction project covering agent runtime boundaries, inference routing, local execution, and provider integration.
Python · PyTorch · scikit-learn · NumPy · Pandas · vLLM · Linux · Git · Docker · GitHub Actions
- Researching causal dynamics for gene regulatory network recovery
- Building and evaluating LLM / agent workflows
- Seeking internship opportunities involving machine learning, data science, LLM systems, research engineering, or scientific machine learning