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# Team <a name="Team"></a>
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PortPy is a community project initiated at [Memorial Sloan Kettering Cancer Center](https://www.mskcc.org/). It is currently developed and maintained by:
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| Name | Expertise | Institution |
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|------------------------------------------------------------------------------|--------------------------------------------------|-------------|
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| [Masoud Zarepisheh](https://masoudzp.github.io/) | Treatment Planning and Optimization | MSK |
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| [Saad Nadeem](https://nadeemlab.org/) | Computer Vision and AI in Medical Imaging | MSK |
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| [Gourav Jhanwar](https://github.com/gourav3017) | Algorithm Design and Development | MSK |
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| [Mojtaba Tefagh](https://github.com/mtefagh) | Mathematical Modeling and Reinforcement Learning | SUT |
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| [Vicki Taasti](https://scholar.google.com/citations?user=PEPyvewAAAAJ&hl=en) | Physics and Planning of Proton Therapy | MAASTRO |
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| [Seppo Tuomaala](https://www.linkedin.com/in/seppo-tuomaala-5b57913/) | Eclispe API Scripting | VARIAN |
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| Name | Expertise | Institution |
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|------------------------------------------------------------------------------|--------------------------------------------------|----------------------------------------|
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| [Masoud Zarepisheh](https://masoudzp.github.io/) | Treatment Planning and Optimization | Memorial Sloan Kettering Cancer Center |
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| [Saad Nadeem](https://nadeemlab.org/) | Computer Vision and AI in Medical Imaging | Memorial Sloan Kettering Cancer Center |
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| [Gourav Jhanwar](https://github.com/gourav3017) | Algorithm Design and Development | Memorial Sloan Kettering Cancer Center |
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| [Mojtaba Tefagh](https://www.ed.ac.uk/profile/mojtaba-tefagh) | Mathematical Modeling and Reinforcement Learning | University of Edinburgh, scotland |
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| [Vicki Taasti](https://scholar.google.com/citations?user=PEPyvewAAAAJ&hl=en) | Physics and Planning of Proton Therapy | Aarhus University, Denmak |
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| [Seppo Tuomaala](https://www.linkedin.com/in/seppo-tuomaala-5b57913/) | Eclispe API Scripting | Varian Medical Systems |
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# License <a name="License"></a>
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PortPy code is distributed under **Apache 2.0 with Commons Clause** license, and is available for non-commercial academic purposes.
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```
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> Written with [StackEdit](https://stackedit.io/).
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> Written with [StackEdit](https://stackedit.io/).

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