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Professor Katia Parodi

Katia Parodi is full professor and Chair of Medical Physics at the Ludwig-Maximilians-University (LMU) in Munich, Germany. She studied Physics at the University of Genoa, Italy. Afterwards she moved to the Research Center of Dresden Rossendorf in Germany, where she received her Ph.D. in Physics from the University of Dresden in 2004. From 2004 to 2006 she held a post-doctoral fellowship at Massachusetts General Hospital and Harvard Medical School in Boston, USA. From 2006 until 2012 she worked as tenured senior scientist and group-leader at the Heidelberg Ion Therapy Center in Germany until she went to LMU. Her main research interests are Monte Carlo modeling and high precision image-guided radiation therapy with special focus on ion beams. Katia Parodi contributed to over 55 papers in peer reviewed journals, several book chapters and one patent (with one more pending). She is currently member of the editorial board of Physics in Medicine and Biology and Medical Physics, and MIC deputy program chair for the 2014 IEEE NSS-MIC conference in Seattle.

Dr Taiga Yamaya

Taiga Yamaya, Ph. D, is a Team Leader of Imaging Physics Team at National Institute of Radiological Sciences (NIRS) in Japan. His research interests are next generation positron emission tomography (PET) instrumentations as well as developments of radiation detectors and image reconstruction algorithms. In Yamaya’s laboratory, using their core technologies for depth-of-interaction (DOI) measurement, they are developing a novel DOI detector “X'tal Cube” and a new equipment concept of “OpenPET” for joint PET - therapy imaging.

Dr Hanne Kooy

Hanne Kooy Ph.D. is an Associate Professor in the Department of Radiation Oncology at Harvard Medical School and Massachusetts General Hospital. His focus for the past 15 years has been on the development and deployment of systems in clinical support of proton radiotherapy. Of late the emphasis has been on the deployment of PBS treatment planning and delivery. These efforts leverage the extensive departmental expertise in dose calculation and optimization algorithms, advanced deployment architectures and in-depth experience of the delivery system. His current emphasis is (1) on a service-oriented architecture to support large-scale computations and heterogeneous and persistent data management in support of ion treatment planning problems and (2) on an advanced workflow and information management framework based on DICOM 2nd Generation and IHE-RO. Such systems are essential to meet the clinical requirements for precision ion radiotherapy in the clinic, including the needs for treatment session dose verification, adaptation and image processing in ion radiotherapy.

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Professor Reinhard Schulte, M.D, MS

Reinhard Schulte is Professor of Radiation Medicine in the School of Medicine of Loma Linda University, and works as Translational Researcher on proton and ion therapy related technology and clinical developments in the James M. Slater Proton Treatment and Research Center, Department of Radiation Medicine, Loma Linda University Medical Center. He received his graduate degree in Physics (Diploma) from Dortmund University, Germany and his Doctorate in Medicine (Dr. med., summa cum laude) from the University of Cologne, Germany. He is Principal Investigator on an NIH-funded project to develop proton CT and participates in two large European Research Consortia related to proton therapy research. Dr. Schulte also has 25 years of experience in clinical proton therapy and is licensed physician and board certified in radiation oncology and radiology in the United States and Germany

Professor Mauro Carrara

Mauro Carrara works as Medical Physicist at the Department of Diagnostic Imaging and Radiotherapy at National Cancer Institute of Milano (Italy) where he is responsible for brachytherapy physics. He conducts research in several fields concerning quality control and dosimetry in high dose rate brachytherapy and the application of US or MR imaging for treatment planning. He has been invited to several national and international conferences to lecture on these subjects. Being part of the multidisciplinary Prostate Program of his Institution, he is as well involved in the development of non-linear models for acute and late toxicity prediction and the study of highly hypofractionated treatment schemes in prostate high dose radiotherapy.
In 2006, he was officially awarded by the Major of Milan with the International Young Researcher Award “Amici di Milano”. He is a member of the European Society for Therapeutic Radiology and Oncology (ESTRO), American Brachytherapy Society (ABS) and Italian Association of Medical Physics (AIFM). For ESTRO and AIFM he was invited to conduct several courses in the fields of radiotherapy physics and mathematical non-linear models for pattern classification. Since 2007 he is Professor at the Department of Medicine and Surgery of the University of Milano.

Dr. Michael Scholz

Dr. Michael Scholz is head of the modelling group in the Biophysics Department at the GSI Helmholtz Centre for Heavy Ion Research in Darmstadt. He is responsible for the development of the Local Effect Model, a biophysical model that is used for biological optimization in treatment planning for ion beam tumor therapy. He is working in the field of radiation biophysics since 1987 and was involved in the pilot project for carbon ion therapy performed at GSI between 1997 and 2008, where about 440 patients have been treated.

Dr. Hsiao-Ming Lu

Hsiao-Ming Lu, Ph.D. is the Director of Clinical Physics and Associate Professor in the Department of Radiation Oncology at Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA. As a long time practitioner of radiotherapy physics, his main focus has been the general improvement of external beam therapy by photon or proton beams, in terms of treatment techniques, quality assurance, and workflow/efficiencies. His recent research interests include the management of proton beam range uncertainty by the means of in-vivo dosimetry and single detector based proton radiography/tomography.