Kelsey Maass | Department of Applied Mathematics

Graduate Student

Contact Information

Fields of Interest

Applied Linear Algebra Applied Mathematics Data Science Inverse Problems Machine Learning Optimization and Variational Analysis Scientific Computing

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

Applied Mathematics

Professional Affiliations

Society for Industrial and Applied Mathematics (SIAM), Association for Women in Mathematics (AWM)

Kelsey Maass (she/her/hers)