CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms

Wang, Xin, et al. "Incorporating global-local tissue changes to predict future breast cancer from longitudinal screening mammograms." *Medical Image Analysis*, p. 103990, 2026.

Mammo-AGE: deep learning estimation of breast age from mammograms

Wang, Xin, et al. "Mammo-AGE: deep learning estimation of breast age from mammograms." *Nature Communications*, vol. 16, no. 1, p. 10934, 2025.

Predicting short-to long-term breast cancer risk from longitudinal mammographic screening history

Wang, Xin, et al. "Predicting short-to long-term breast cancer risk from longitudinal mammographic screening history." *npj Breast Cancer*, vol. 11, no. 1, p. 118, 2025.

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms

Wang, Xin, et al. "Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms." *MICCAI 2024*, pp. 155–165. Springer.

Disasymnet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-Adversarial Learning

Wang, Xin, et al. "Disasymnet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-Adversarial Learning." *MICCAI 2023*, pp. 57–67. Springer.

2.75 D: Boosting Learning by Representing 3D Medical Imaging to 2D Features for Small Data

Wang, Xin, et al. "2.75 D: Boosting Learning by Representing 3D Medical Imaging to 2D Features for Small Data." *Biomedical Signal Processing and Control*, vol. 84, 2023, p. 104858. Elsevier.

Artificial Intelligence in Breast Imaging

Wang, Xin, et al. "Artificial Intelligence in Breast Imaging." *Breast Imaging: Diagnosis and Intervention*, Springer, 2022, pp. 435–453.

Talks

Teaching

Service and leadership

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