Resume
Academic Achievements
- Published 'Photon-Counting Micro-CT for Bone Morphometry in Murine Models' in Tomography, 2025, Vol. 11, No. 127.
- Co-authored 'Network biomarkers of Alzheimer’s disease risk derived from joint volume and texture covariance patterns in mouse models' published in PLoS One, 2025, Vol. 20, No. 8.
- Released 'Development of anatomically variable digital Wistar rat phantoms for small animal imaging research' in Medical Physics, 2025, Vol. 52, No. 8.
- Authored 'Olfactory-Guided Behavior Uncovers Imaging and Molecular Signatures of Alzheimer’s Disease Risk', featured in Brain Sci., 2025, Vol. 15.
- Proposed a novel denoising method applied to pediatric cardiac photon-counting CT data, 'Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning', also published in Medical Physics.
Research Experience
- Plays a key role at Duke University's Quantitative Imaging & Analysis Lab, involved in multiple research projects such as using photon-counting CT to study bone aging processes in mouse models; developing anatomically variable digital Wistar rat phantoms for more realistic preclinical imaging simulations; exploring early biomarkers of Alzheimer's disease risk through olfactory-guided behavior; improving pediatric cardiac photon-counting CT image quality with adaptive AI denoising techniques, etc.
Background
- Research interests include the application of photon-counting CT technology in medical imaging, particularly for the diagnosis and treatment of Alzheimer's disease, bone health, and heart diseases.
Miscellany
- Welcomed visiting Fulbright Scholar Dr. Kristina Bliznakova to the team, collaborating on advancing photon-counting CT and virtual imaging technologies.