Kelsey Maass | Department of Applied Mathematics

Graduate Student

Contact Information

LEW 222

Fields of Interest

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

Biography

M.S. in Applied Mathematics, University of Washington, 2015

B.A. in Mathematics, Azusa Pacific University, 2009

Curriculum Vitae (118.5 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., & 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.
Maass, K., Kim, M., & Aravkin, A. (2019) A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712.

Adviser: Aleksandr Aravkin

Courses Taught

Winter 2019

AMATH 352 A: Applied Linear Algebra and Numerical Analysis

You are here

Kelsey Maass (she/her/hers)