Related Faculty
Boeing Endowed Professor
Director of Computational Finance and Risk Management Program
Related Research
- E. Angelini and H. Qian. "Statistical analysis of random motion and energetic behavior of counting: Gibbs' theory revisited." J. Phys. Chem. B 2023, 127, 11, 2552–2564
- 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.