Experience

Research experience, education, technical skills, and awards.

Professional experience

Postdoctoral Researcher — University of Colorado Anschutz Medical Campus

July 2025 – Present · Aurora, Colorado
  • Develop scalable methods for multi-hop retrieval over large biomedical knowledge graphs and integrate retrieved evidence with large language models for clinical applications.
  • Develop orchestrator-centered multi-agent systems for clinical prediction, including reinforcement learning for agent selection, role assignment, and stopping decisions.
  • Work with clinicians and researchers on systems aligned with diagnostic and clinical decision-support workflows.

Volunteer Research Assistant — Utah State University

January 2025 – June 2025 · Logan, Utah
  • Collaborated with Dr. Shuhan Yuan to finalize academic publications and extend experimental evaluations of deep anomaly detection models.

Graduate Research Assistant — Utah State University

August 2020 – December 2024 · Logan, Utah
  • Designed and implemented machine-learning pipelines for log anomaly detection using PyTorch and TensorFlow.
  • Developed counterfactual explanations, global and local interpretability, and prototype-based insights for deep anomaly-detection systems.
  • Configured SSH access, managed distributed servers, automated system monitoring with Bash, and analyzed resource usage for machine-learning experiments.

Graduate Teaching Assistant — Utah State University

August 2021 – December 2024 · Logan, Utah
  • Assisted in teaching and grading CS 5665 Introduction to Data Science.
  • Assisted in teaching and grading CS 5080/CS 6665 Data Mining.

Education

Ph.D. in Computer Science — Utah State University

August 2020 – December 2024
  • Advisor: Dr. Shuhan Yuan
  • Dissertation: Interpretable and Robust Deep Anomaly Detection

M.S. in Electrical and Computer Engineering — State University of New York at Binghamton

August 2018 – May 2020
  • Advisor: Dr. Jian Li
  • Thesis: Consensus-Based Quickest Change Detection in IoT Systems

B.E. in Mechanical Engineering — China University of Petroleum (East China)

September 2012 – June 2016

Technical skills

Programming and systems

  • Python, SQL, C/C++, Bash, Linux, Git, and Docker.

Machine learning and LLM frameworks

  • PyTorch, TensorFlow, Hugging Face Transformers, PEFT/LoRA, LangChain, LangGraph, FastMCP, and SGLang.

Cloud and databases

  • AWS, GCP, PostgreSQL, MongoDB, SQLite, and Neo4j.

Research areas and methods

  • Large language models, knowledge graphs, multi-agent systems, reinforcement learning, retrieval-augmented generation, interpretable AI, robust machine learning, and anomaly detection.

Honors and activities

  • Volunteer Lead, IEEE International Conference on Big Data, 2024.
  • SDM’24 Doctoral Forum Travel Award ($1,000), SIAM International Conference on Data Mining, 2024.
  • Graduate Student Travel Award, Utah State University, 2023.
  • Graduate Student Travel Award, Utah State University, 2022.