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SUMMARY:2026 Marvin Zelen Symposium: Advancing Reproducible Research: Principles\, Practice\, and Impact
DESCRIPTION:We invite you to attend the Marvin Zelen Memorial Symposium\, an event that celebrates the life and contributions of a remarkable figure in the field of statistics. This symposium will be held on Tuesday\, June 16th\, 2026\, from 1:00 PM to 5:00 PM ET at the Helen G. Drinan Hall at Simmons University. \nThe Marvin Zelen Memorial Symposium is an opportunity for statisticians\, researchers\, and professionals in the field to come together and engage in thought-provoking discussions and presentations. We have curated an exceptional lineup of speakers who will share their expertise and insights. \nTo ensure your attendance\, please RSVP by clicking on the following link: https://bit.ly/zelen26. \nA reception will follow the symposium. \n2026 Speakers \nMaria Jones\, MA\nSenior Economist in the Development Impact (DIME) department at the World Bank \nChirag Patel\, PhD\nAssociate Professor of Biomedical Informatics\, Harvard Medical School \nVictoria Stodden\, PhD\nAssociate Professor\, Daniel J. Epstein Department of Industrial & Systems Engineering\, at the University of Southern California \nOlga Vitek\, PhD\nRaymond Bradford Bradstreet Professor\, Director\, Barnett Institute for Chemical and Biological Analysis\, Khoury College of Computer Sciences\, Northeastern University \n 
URL:https://ds.dfci.harvard.edu/event/2026-marvin-zelen-symposium/
LOCATION:Simmons University\, 300 The Fenway\, Boston\, MA\, United States
CATEGORIES:Symposium
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SUMMARY:Machine Learning in Medical Imaging: From New Techniques to Clinical Translation
DESCRIPTION:Zelen 2023 Program \nThe 2023 Marvin Zelen Memorial Symposium featuring talks by: \n\nAndy Beck (Co-founder & CEO\, Path AI)\nEmerging Methods in Machine Learning and Applications for Digital Pathology\nJonathan Chen (Instructor in Pathology\, MGH)\nMulticellular Networks: Immunity Hubs in Human NSCLC\nMarzyeh Ghassemi (Assistant Professor\, MIT)\nDesigning Machine Learning Processes For Equitable Health Systems\nPolina Golland (Professor\, MIT)\nLearning to Read X-ray: Applications to Heart Failure Monitoring\nJayashree Kalpathy-Cramer (Professor\, University of Colorado\, MGH\, and HMS)\nOpportunities and Challenges for Medical Imaging AI – Lessons from Oncology and Ophthalmology\nBill Lotter (Member of the Faculty\, DFCI and HMS)\nAI for Mammography: From Algorithms to Clinical Integration\nShantanu Singh (Senior Group Leader\, Broad Institute)\nFortune-telling with Images: Painting Cells for Discovering Drugs\n\nFriday April 7\, 2023\n1:00-5:00PM \nSimmons University\nParesky Conference Center\n300 The Fenway\, Boston\, MA \nReception to follow. \nRegister for virtual or in-person attendance.
URL:https://ds.dfci.harvard.edu/event/machine-learning-in-medical-imaging-from-new-techniques-to-clinical-translation/
LOCATION:Simmons University\, 300 The Fenway\, Boston\, MA\, United States
CATEGORIES:Conference
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