Dr. Benjamin P. Ziemer received a BS in Chemistry, Math, and Physics from UW Madison. He went on to receive an MS and Ph.D. in Particle Physics from UC Irvine. His doctoral work was on the MINERvA experiment at Fermi National Accelerator Laboratory developing the software simulation, specifically the particle tracking and energy reconstruction, and analysis of quasi-elastic final states. Changing career focus to medical physics, he did research on low-dose cardiac perfusion imaging and automated knowledge-based planning for stereotactic radiosurgery during post-doctoral positions at UC Irvine and UC San Diego, respectively. Dr. Benjamin Ziemer desires to bring the concepts of pattern recognition, knowledge-based automation, machine learning, and, in general, highly quantitative/statistical methods to radiation therapy in order to improve patient outcomes, reduce normal tissue complications and reduce both inter-and intra-clinic variations in cancer treatment. He believes in forming strong collaborations both within UCSF, across the UC Health System, and other external institutions to bring strong, dedicated minds together to study the collected vast, differentiated datasets to make progress in any one given individual’s struggle against cancer.
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Contact
Email: benjamin.ziemer@ucsf.edu