Interests:

Multiobjective optimization, utility measurements, probabilistic modeling of clinical outcomes in radiation oncology, and decision modeling in oncology.

Background:

B.A. in physics from Oberlin College; Ph.D. in atomic physics from University of Wisconsin-Madison.  Post-doctoral fellow in radiation biophysics, UC-Berkeley.  Staff scientist in the heavy charged particle clinical medicine program at Lawrence Berkeley Laboratory.  On the UW faculty since 1991.

Research:

Multiobjective optimization, utility measurements, probabilistic modeling of clinical outcomes in radiation oncology, decision modeling in oncology.

Representative publications:

• Kalet AM, Gennari JH, Ford EC, Phillips MH.  Bayesian network models for error detection in radiotherapy plans.  Phys Med Biol, 60: 2735-49: 2015.
• Kim M, Ghate A,  Phillips M. A Stochastic Control Formalism for Dynamic Biologically Conformal  Radiation Therapy,  European Journal of Operations  Research, 219: 541-556, 2012.
• Holdsworth C, Stewart R, Kim M, Liao J,  Phillips M. Investigation of  effective decision criteria for multiobjective optimization in IMRT,  Med Phys, 38: 2964-2974, 2011.
• Phillips M, Smith W, Parvathaneni U, Laramore G. The Role of PET in the treatment of occult disease in head and neck cancer: a Modeling Approach.  Int J Radiat Oncol Biol Phys, 79: 1089-1095, 2011.
• Holdsworth C, Kim M, Liao J,  Phillips MH. A Hierarchical Evolutionary Algorithm for Multiobjective   Optimization in IMRT. Med Phys, 37: 4986-4997, 2010.
• Kim M, Ghate A,  Phillips M. A Markov Decision Process Approach to Temporal Modulation of Dose Fractions in Radiation Therapy Planning.  Phys Med Biol, 54: 4455-4476, 2009.
• Smith WP, Doctor J, Meyer J, Kalet IJ,   Phillips MH. A decision aid for IMRT plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model.  Artif Intell Med, 46(2): 119-130, 2009.