You can also find my complete resume here.

Education

• Ph.D. in Bioengineering: Data Science, University of Washington, 2023-present
  • Supervisor: Prof. Paul Kinahan, UW Medicine Imaging Research Lab
  • Doctoral Supervisor Committee: Prof. Patrick Boyle, Prof. David Haynor, Prof. Sheng Wang
  • Research: Foundation Model and AI-Driven Data Harmonization.
• Master in Computer Science, University of Illinois at Urbana-Champaign, 2022-2023
• Bachelor in Software Engineering, Xiamen University, 2018-2022

Work experience

• June 2026 - Present: Research Intern. Supervisor: Dr. Ardavan Saeedi
  • Optum AI (UnitedHealth Group)
  • Research: LLM Foundation Model Pretraining and Optimization, with Agentic AI Post-Training.
• June 2025 - May 2026: Research Intern. Supervisor: Dr. Ali Kamen, Dr. Riqaing Gao
  • Siemens Healthineers (collaborated with Prof. Jeffrey Bradley)
  • Research: Multimodal Foundation Model for Radiation Treatment Planning.
• June 2023 - Sept 2023: Research Intern. Supervisor: Prof. Yu Qiao, Dr. Diping Song
  • Shanghai AI Laboratory
  • Research: Multimodal Large Language Model Pretraining and Supervised Fine-Tuning.
• Mar 2022 - Aug 2022: Research Intern. Supervisor: Dr. Le Lu, Dr. Dakai Jin
  • Alibaba DAMO Academy
  • Research: Multimodal radiotherapy target volume segmentation and text-guided organ segmentation.
• Aug 2020 - Nov 2020: Research Intern. Supervisor: Prof. Pietro Liò
  • University of Cambridge
  • Research: Automatic segmentation and detection model for pulmonary infection in X-ray images.
• Aug 2022 - Nov 2022: Visiting Student. Supervisor: Prof. Alan L. Yuille, Prof. Yuyin Zhou, Prof. Cihang Xie
  • Johns Hopkins University, University of California Santa Cruz
  • Research: MAE pre-training with the multi-view mechanism in images.
• May 2021 - Sept 2021: Visiting Student. Supervisor: Prof. Jie Chen
  • Peking University
  • Research: Hybrid attention mechanism and mix-focal loss improvement.

Service and leadership

• Conference Reviewer: AAAI 2027; ICML 2026; ICLR 2025-2026; NIPS 2025; IJCAI 2025-2026; ECAI 2025-2026; AISTATS 2025-2026; ISBI 2025-2026; ACL 2025; LOG 2025; IJCNN 2025; ECCV 2024; ICCV 2023; ICASSP 2023-2026; MICCAI 2023-2026; ACM MM 2022-2026;
• Journal Reviewer: IEEE TPAMI; IEEE TIP; IEEE TMI; IEEE TNNLS; IEEE TCSVT; IEEE TCYB; IEEE JBHI; ACM TIST; Radiology; Information Fusion; Medical Image Analysis; Pattern Recognition; Neural Networks; EAAI; CIBM;
• Topic Editor: Frontiers in Neuroinformatics
• Membership: ACM Member, SIIM Student Member, AAPM Student Member, SPIE Student Member

Honors and Awards

• UW Herbold Fellowship (only 5 Recipients) 2026
• Ruby Newhall Memorial Scholarship 2026
• UW GPSS Travel Grant 2026
• UW Conference Presentation Award 2026
• IEEE TMI Distinguished Reviewer Gold Level 2025
• ICLR Notable Reviewer 2025
• AAPM Expanding Horizons Travel Grant 2025
• Mortar Board Alumni/Tolo Foundation’s Ayers Scholarship 2025
• UIUC Conference Presentation Award 2023
• National Scholarship of China (0.2%) 2020, 2021
• Pacemaker to Merit Student of Xiamen University (1%) 2020
• NongXin scholarship of Xiamen University (2%) 2020

Talks

• Jan 2026, A Structured Approach for AI models in multi-modal medical imaging at CDMC@Xiamen University
• Feb 2025, NLPs, new tools, MIDRC-LOINC mapping and the long-tail problem at MIDRC Seminar
• Dec 2023, Semi/Self-supervised Learning with Limited Annotations in Medical Image Analysis at CCVL@JHU
• May 2021, Experience Sharing at MIT Blended Learning Program
• Dec 2020, Experience Sharing at Study Abroad Foundation (SAF) China