Pengpeng Zhang, PhD, DABR

Associate Attending Physicist
Department of Medical Physics
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Pengpeng Zhang, PhD, DABR

Associate Attending Physicist
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Pengpeng Zhang

Education

PhD, Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio

I am a board-certified medical physicist, embedded in the Physics Computer Service of the Medical Physics Department (MPCS). As the Deputy Chief of MPCS, my primary responsibility is to provide technical support for activities related to radiotherapy physics, with a focus on developing computer applications to facilitate treatment planning and delivery.

My research interests are in developing deep learning algorithms for the timely prediction of radiotherapy response, incorporating the predictive model into the optimization of the clinical workflows of adaptive radiotherapy, and integrating novel imaging and delivery sequences for image-guided radiation therapy. My focus is on providing key software services to keep Memorial Sloan Kettering at the cutting edge of radiotherapy.

Publications

Zhang P, Yorke E, Hu J, Mageras G, Rimner A, Deasy JO. Predictive treatment management: incorporating a predictive tumor response model into robust prospective treatment planning for non-small-cell lung cancer. Int J Radiat Oncol Biol Phys. 88(2):446-452, 2014. (Featured article in Medical Physics Web).

Zhang P, Hunt M, Telles A, Pham H, Lovelock M, Yorke E, Li G, Happersett L, Rimner A, and Mageras G. Design and validation of a MV/kV imaging based markerless tracking system for assessing real time lung tumor motion. Med Phys., 45(12):5555-5563, 2018.

Wang C, Alam S, Zhang S, Hu Y, Nadeem S, Tyagi N, Rimner A, Lu W, Thor M, and Zhang P. Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network. Phys Med Biol. 65, 235027, 2020.

Alam S, Zhang P, Zhang S, Rimner A, Tyagi N, Hu Y, Lu W, Yorke E, Deasy JO, and Thor M. Early prediction of acute esophagitis for adaptive radiotherapy. Int J Radiat Oncol Biol Phys. In press. 2021.

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Pengpeng Zhang discloses the following relationships and financial interests:

No disclosures meeting criteria for time period


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This page and data include information for a specific MSK annual disclosure period (January 1, 2022 through disclosure submission in spring 2023). This data reflects interests that may or may not still exist. This data is updated annually.

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