Graduate Student
Biography
Ph.D., Applied Mathematics, University of Washington, 2021
M.S., Applied Mathematics, University of Washington, 2015
B.A., Mathematics, Azusa Pacific University, 2009
Curriculum Vitae
(126.57 KB)
My research is focused on developing new applications of optimization and machine learning in the field of radiation oncology. I am advised by Aleksandr Aravkin and Minsun Kim.
Research
Selected Research
- Maass, K., Aravkin, A., & Kim, M. (2021). A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. arXiv preprint arXiv: arXiv:2105.07024.
- Maass, K. (2021). Optimization Formulations and Algorithms for Cancer Therapy. PhD Thesis, University of Washington.
- Maass, K., Kim, M., & Aravkin, A. (2020). A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712.
- Maass, K., & Kim, M. (2019). A Markov decision process approach to optimizing cancer therapy using multiple modalities. Mathematical Medicine and Biology: A Journal of the IMA. doi:10.1093/imammb/dqz004.
Affiliations
Home Department
Professional Affiliations
Society for Industrial and Applied Mathematics (SIAM), Association for Women in Mathematics (AWM)