Software engineer at AWS Kiro and research assistant at CU Anschutz School of Medicine. At Kiro I build LLM context and memory systems for agentic coding. In research I work on EHR-based patient world models, reliable medical imaging AI, clinical AI agents, and the data infrastructure behind them.
Homepage · Google Scholar · LinkedIn · ORCID
| Project | What it does |
|---|---|
| EHR2Trace | Converts hospital EHR exports into OMOP CDM 5.4 and MEDS, with row-level source lineage and 55 validation checks on the published outputs. Built for patient world models and clinical agents. Project page. |
| vrm-edge-triage | Variational Risk Minimization for chest X-ray triage: distills a multimodal teacher into an image-only student for edge deployment. Code for our Smart Health 2026 paper. |
| Q-DISTILL | Self-supervised Q-Former distillation for image-only chest X-ray triage, using MedGemma pseudo-reports; accuracy 76.5% → 89.1%. Component of our Smart Health 2026 work. |
| cxr-vlm-routing | Reliability stress tests and decision-time routing for chest X-ray VLMs (CheXagent, MedGemma-4B/27B): code, MIMIC-CXR per-case results and tables for our IEEE/ACM CHASE 2026 workshop paper. |
| brain_mri_preprocess_pipeline | Stroke brain MRI pipeline: DICOM → NIfTI, registration, skull stripping, encryption. |
- Xinye Yang, Z. Zhong, S. Collins, M. Bernstein, G. Baird, T. Healey, M. Atalay, et al. Confidence-gated cloud-edge cascade triage via variational risk minimization for medical imaging. Smart Health, 2026. Presented at IEEE/ACM CHASE 2026 (Oral). DOI · Code
- Xinye Yang, Z. Zhong, S. Collins, G. Baird, X. Wang, Z. Jiao. Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models. IEEE/ACM CHASE 2026 Workshop (Oral). DOI · Code
- Z. Ma, Xinye Yang, et al. The AI Challenge: A Turing Test Pilot Study of Attendings and Residents in Identifying AI-Generated Content. Meta-Radiology, 2025. DOI
- Z. Ma, Xinye Yang, et al. A Unified Platform for Radiology Report Generation and Clinician-Centered AI Evaluation. medRxiv, 2025. DOI
- C. Chen, H. Wang, Y. Chen, Z. Yin, Xinye Yang, et al. Understanding the brain with attention: A survey of transformers in brain sciences. Brain-X, 2023. DOI
Full list on Google Scholar.
杨新烨（Xinye Yang，Charlie），AWS Kiro 软件工程师，科罗拉多大学安舒茨医学院研究助理。研究方向：基于 EHR 的患者世界模型、可靠的医学影像 AI，以及支撑它们的临床数据基础设施。