He Cheng
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On this page

  • Professional experience
  • Education
  • Skills
  • Honors and activities
  • Languages and interests

Experience

Research experience, education, skills, and honors.

Professional experience

Postdoctoral Researcher — University of Colorado Anschutz Medical Campus

July 2025–present

Working in the Department of Biomedical Informatics. Research focus: large biomedical knowledge graphs, clinical NLP, LLM reasoning, and orchestrator-centered multi-agent systems for clinical decision support.

Volunteer Research Assistant — Utah State University

January 2025–June 2025

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

Conducted research on anomaly detection, interpretable machine learning, and robustness against backdoor attacks. Published multiple papers in ECML PKDD, PAKDD, IJCNN, IEEE Big Data, etc.

Graduate Teaching Assistant — Utah State University

August 2021–December 2024

Assisted in teaching and grading for CS 5665 — Introduction to Data Science and CS 5080/CS 6665 — Data Mining.

Education

PhD in Computer Science — Utah State University

August 2020–December 2024

Dissertation on interpretable and robust anomaly detection, with emphasis on model transparency and security against backdoor attacks. Supervised by Dr. Shuhan Yuan.

MS in Electrical and Computer Engineering — Binghamton University, State University of New York

August 2018–May 2020

Specialized in anomaly detection and data mining.

BE in Mechanical Engineering — China University of Petroleum

September 2012–June 2016

Undergraduate research in engineering and applied computing.

Skills

Programming and systems

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

Machine learning and LLM tooling

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

Cloud and databases

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

Research 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

IEEE Big Data 2024 Volunteer Lead

December 2024 · IEEE Big Data

Served as Volunteer Lead for IEEE Big Data 2024, supporting conference organization and logistics.

Doctoral Forum Travel Award ($1,000)

April 2024 · SIAM SDM 2024

Received $1,000 travel award to attend and present at the SDM 2024 Doctoral Forum.

Graduate Student Travel Award

May 2023 · Utah State University

Awarded to support travel for academic conference participation.

Graduate Student Travel Award

May 2022 · Utah State University

Awarded to support travel for academic conference participation.

Languages and interests

  • English: 90%
  • Chinese (Mandarin): 100%
  • Hiking and exploring nature
  • Building projects and coding tools
  • Board games and strategy games
 

© 2026 He Cheng