Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Ghassemi, M. Wu, M., Feng, M . Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. Dr. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, and a Vector Institute faculty member holding a Canadian CIFAR AI Chair and Canada Research Chair. AI for Healthcare Improving health requires targeting and evidence. In Inductive Biases, Invariances and Generalization in RL (BIG) at ICML, 2020 [arXiv] 11.Arnold Yeung, Shalmali Joshi, Joseph Williams, and Frank Rudzicz. Sequential explanations with mental model-based policies. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Counterfactually guided policy transferin clinical settings. Previously, she was a Visiting Researcher with Alphabetâs Verily and a post-doc with Dr. Peter Szolovits at IT (CV). Marzyeh targets âHealthy MLâ, focusing on applying machine learning to understand and improve health. (2015) Ne ural Informa t i on Proc e ssi ng Syst e m s (NIPS 2015) Workshop on Machine Learning in He a l t hc a re . Marzyeh Ghassemi - Assistant Professor, Faculties of Computer Science Office: Department of Computer Science and Medicine University of Toronto Office: Pratt 286A 6 Kingâs College Rd. W2 Laleh Seyyed-Kalantari, Karsten Roth, MengyeRen, Parsa Torabian, Joseph P. Cohen, Marzyeh Ghassemi. This session will cover some of the novel technical opportunities for machine learning in health challenges, and the important progress to be made with careful application to domain. She currently serves as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference. Discrete switching-state sy ste ms for ICU vasopr e ssor i nte r ve nti on and we ani ng pr e di c ti ons. Ghassemi, M ., Syed, Z., and R.E ., Gut t a g, J.V. Marzyeh tackles part of this puzzle with machine learning. In Medical Imaging Meets NeurIPS Workshop, Vancouver, BC, Canada, 2020. Marzyeh targets âHealthy MLâ, focusing on creating applying machine learning to understand and improve health. View Marzyeh Ghassemiâs profile on LinkedIn, the worldâs largest professional community. - ieee8023/covid-chestxray-dataset Marzyeh has 7 jobs listed on their profile. Incremental few-shot learning for low- and multi-label medical image pathology classiï¬cation. ... she was a Visiting Researcher with Alphabetâs Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). 10.Taylor Killian, Marzyeh Ghassemi, and Shalmali Joshi. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. P r e d i c ti n g i n te r ve n ti on on s e t i n th e I CU wi th s wi tc h i n g s tate s p ac e mod e l s . Dr. Marzyeh Ghassemi. We are building an open database of COVID-19 cases with chest X-ray or CT images. Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. *, S z ol ovi t s , P ., a nd Dos hi -Ve l e z , F . Gha s s e m i , M.* , W u, M.*, Hughe s , M.C . Toronto, ON M5S 3G4, Canada Email: marzyeh (at) cs (dot) toronto (dot) eduRead more â