Research

Evaluation is part of the system, not an afterthought.

My interests connect AI application engineering with rigorous evaluation: how models use tools and evidence, how system behavior is recorded, and how results are communicated to people who need to review or act on them.

01

AI application engineering

Turning model capabilities into usable systems through retrieval, tool calling, databases, deployment, and clear human-review boundaries.

02

Agent systems and infrastructure

Building observable and reproducible agent workflows that interact with tools, documents, services, and external state.

03

Reliable evaluation

Evaluation methods that make evidence provenance, failure modes, model judgments, and operational boundaries explicit.

04

Industrial and cyber-physical systems

Applying software and AI engineering to scheduling, simulation, digital twins, robotics, and other systems linked to physical operations.

Current system research

In Progress

SafeTrace-Agent

An auditable safety evaluation system for embodied LLM agents, designed to preserve the path from environment observation to action, safety event, evaluator decision, and report evidence.

Implemented artifacts

  • Structured trace schema and safety taxonomy
  • Rule-based baseline and evaluator pipeline
  • Report generation with evidence-linked findings
  • AI2-THOR adapter and technical report draft

Current boundary

Real simulator experiments are ongoing. This portfolio does not report success rates, comparative results, or completed empirical conclusions before those runs are finished and reviewed.

First-author manuscript

In Progress

Spatial-scale driving mechanisms of land-use conflict in the Yellow River Basin

A first-author study examining how the drivers of land-use conflict vary across spatial scales in the Yellow River Basin using multifactor spatial data and wavelet analysis. The manuscript is being prepared for submission and is not described as submitted or accepted.

Research role

Project lead within a National Undergraduate Innovation Program, responsible for coordinating the research process and developing the first-author manuscript.

Reporting policy

A paper link will be added after a public preprint or formal submission artifact is available. No publication or acceptance claim is made at this stage.