Welcome to my homepage!

I’m a software engineer at AWS Kiro IDE.

Alongside product engineering, I contribute to medical imaging and AI agent research at the University of Colorado Anschutz School of Medicine.

My research aims to transform the healthcare experience with AI—improving hospital triage efficiency and building trustworthy, parameter-efficient AI systems for clinical decision support. Recently, I have been exploring EHR-Based Patient World Models and Loop World Models, and developing reliable Medical Agent Systems along with large-scale data processing infrastructure for training medical world models.

At CU Anschutz, I’m advised by Prof. Harrison Bai and Prof. Yuli Wang. At Brown, I was advised by Prof. Zhicheng Jiao. At the University of Science and Technology Beijing, I was advised by Prof. Cheng Chen and Prof. Ruoxiu Xiao. Earlier, at the Chinese Academy of Sciences, Institute of Automation, I built a real-time ICU patient monitoring system advised by Prof. Hongjun Yang and Prof. Zengguang Hou.

Research interests: Multimodal LLMs · Medical Image Analysis · AI in Healthcare · Agentic AI

Highlights:

  • Evolving LLM context and memory systems (compaction, retrieval, context scheduling under token budgets), reducing inference cost and latency while preserving response quality.
  • As an intern, designed and shipped Kiro IDE's core distributed context compaction system—hierarchical compression, achieving 80–90% compression—and drove its production launch serving 100K+ users.
  • Contributor to KiroCrew, an open-source multi-agent workspace built on kiro-cli and the Agent Client Protocol (ACP): session-resilience, redaction, and sandboxing improvements.
  • Research on reliable AI for medical imaging and clinical decision support, spanning model evaluation, uncertainty-aware triage and cloud–edge deployment, plus a U.S. provisional patent on an intelligent radiology reporting platform.
  • Earlier, built a real-time ICU patient monitoring system at the Chinese Academy of Sciences, Institute of Automation, securing a software patent and a national grant.

Feel free to reach out if you’d like to chat about AI products, developer tools, or healthcare AI!

News

  • 2026.10:  📄 Our exploratory study of mammographic radiomics and radiology report embeddings after breast cryoablation is published in Clinical Breast Cancer. Paper page
  • 2026.09:  📄 Our preprint on auditable EHR data infrastructure for patient world models and clinical agents is on arXiv, with open-source code. arXiv:2609.38193
  • 2026.07:  🚀 I join AWS Kiro as a full-time Software Development Engineer in Seattle!
  • 2026.07:  🔬 I start as a Research Assistant at the University of Colorado Anschutz School of Medicine.
  • 2026.07:  🎉 Our paper on reliability stress tests and decision-time routing for chest X-ray VLMs appears at IEEE/ACM CHASE 2026 and is selected as an Oral presentation 🏅!
  • 2026.07:  🎉 Our paper on confidence-gated cloud–edge cascade triage for medical imaging is published in Smart Health and is selected as an Oral presentation 🏅!
  • 2026.05:  🎓 I obtain my Master’s degree in Computer Science from Brown University!
  • 2025.07:  📄 Our unified platform for radiology report generation and clinician-centered AI evaluation is released on medRxiv.
  • 2025.06:  💻 I join AWS Kiro as a Software Engineer Intern, working on context management for agentic coding.
  • 2025.03:  🏥 I join Brown University Health as a Research Intern on AI-powered medical imaging.
  • 2024.09:  🎓 I join Brown University as a Master’s student in Computer Science!
  • 2024.07:  🏅 I graduate from University of Science and Technology Beijing with the Dean’s Medal of the School of Artificial Intelligence.

Publications

For a complete list of publications, please visit my Google Scholar.

Citations: 47 · h-index: 2 · i10-index: 1 · Updated September 2026

Clin Breast Cancer 2026

Exploratory Evaluation of Radiology Report Embeddings and Mammographic Radiomics for Post-Cryoablation Biopsy and Biopsy-Proven Ipsilateral Breast Tumor Recurrence

S Dubey, N Collins, X Yang, I Akinseye, Z Jiao, S Collins, C Boutros, RC Ward

Clinical Breast Cancer, 2026

arXiv 2026

EHR2Trace: Auditable EHR Data Infrastructure for Patient World Models and Clinical Agents

X Yang, Y Wang, CT Lin, H Bai

arXiv preprint arXiv:2609.38193, 2026

CHASE 2026 Oral

Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models

X Yang, Z Zhong, S Collins, G Baird, X Wang, Z Jiao

2026 IEEE/ACM Conference on Connected Health: Applications, Systems and Technologies, 2026

Smart Health 2026 Oral

Confidence-gated cloud-edge cascade triage via variational risk minimization for medical imaging

X Yang, Z Zhong, S Collins, M Bernstein, G Baird, T Healey, M Atalay, et al.

Smart Health · 100689, 2026

medRxiv 2025

A Unified Platform for Radiology Report Generation and Clinician-Centered AI Evaluation

Z Ma, X Yang, Z Atalay, A Yang, S Collins, H Bai, M Bernstein, G Baird, et al.

medRxiv · 2025.07.07.25331018, 2025 · cited by 1

Meta-Radiology 2025

The AI Challenge: A Turing Test Pilot Study of Attendings and Residents in Identifying AI-Generated Content

Z Ma, X Yang, Z Atalay, Z Zhong, S Collins, H Bai, M Bernstein, A Pandey, et al.

Meta-Radiology · 100199, 2025

Brain-X 2023

Understanding the brain with attention: A survey of transformers in brain sciences

C Chen, H Wang, Y Chen, Z Yin, X Yang, H Ning, Q Zhang, W Li, R Xiao, et al.

Brain-X · 1(3), e29, 2023 · cited by 44

ISCID 2022

Optimization of CNN for Diagnosis on Lung Disease by Lung Segmentation and Rib Suppression

X Yang, Y Liu, Z Lin, L Zhong, TT Toe

15th International Symposium on Computational Intelligence and Design, 2022 · cited by 2

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