Curriculum Vitae
Education
Ph.D., Computer Engineering — University of Massachusetts Lowell
Dissertation: Machine Learning and Applications to Medical Imaging & Food Science.
B.S., Computer Science — Beijing Normal University
Honors graduation thesis on machine learning for pulsar search.
Selected Grant Involvement
- Co-investigator, NIH/NIBIB R01 EB034737 — Unsupervised Deep Photon-Counting CT Reconstruction for Human Extremity Imaging.
- Co-investigator, NIH/NIBIB R01 EB032807 — AI-based Cardiac CT.
- Co-investigator, NIH/NCI R21 CA264772 — SPECT with a Compton Camera for Thyroid Cancer Imaging.
- Co-investigator, AI-enabled Nondestructive Surveillance of Foodborne Pathogen, US CCDC.
- Co-investigator, Machine Learning Enabled Detection of Pathogenic and Spoilage Microorganisms on Foods, FDA.
Technical Expertise
- CT/MRI physics, image reconstruction, denoising, and synthesis
- Contrast-enhanced MRI and MRI dose simulation
- Diffusion models, LLMs, vision-language models, transformers
- PyTorch, TensorFlow, scikit-learn, Docker, DICOM
- Python, C, C++, Java, MATLAB