10.Taylor Killian, Marzyeh Ghassemi, and Shalmali Joshi. Marzyeh targets âHealthy MLâ, focusing on applying machine learning to understand and improve health. Toronto, ON M5S 3G4, Canada Email: marzyeh (at) cs (dot) toronto (dot) eduRead more â Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. Dr. Marzyeh Ghassemi. Professor Ghassemi completed her PhD at MIT where her research focused on machine learning in health care. (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 . Ghassemi, M ., Syed, Z., and R.E ., Gut t a g, J.V. Marzyeh Ghassemi - Assistant Professor, Faculties of Computer Science View Marzyeh Ghassemiâs profile on LinkedIn, the worldâs largest professional community. Previously, she was a Visiting Researcher with Alphabetâs Verily and a post-doc with Dr. Peter Szolovits at IT (CV). 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. Marzyeh has 7 jobs listed on their profile. In Inductive Biases, Invariances and Generalization in RL (BIG) at ICML, 2020 [arXiv] 11.Arnold Yeung, Shalmali Joshi, Joseph Williams, and Frank Rudzicz. Office: Department of Computer Science and Medicine University of Toronto Office: Pratt 286A 6 Kingâs College Rd. Gha s s e m i , M.* , W u, M.*, Hughe s , M.C . In Medical Imaging Meets NeurIPS Workshop, Vancouver, BC, Canada, 2020. Sequential explanations with mental model-based policies. *, S z ol ovi t s , P ., a nd Dos hi -Ve l e z , F . Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). 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 . She currently serves as a NeurIPS 2019 Workshop Co-Chair, and Board Member of the Machine Learning for Health Unconference. Marzyeh tackles part of this puzzle with machine learning. 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. 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. Marzyeh targets âHealthy MLâ, focusing on creating applying machine learning to understand and improve health. AI for Healthcare Improving health requires targeting and evidence. ... she was a Visiting Researcher with Alphabetâs Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). Counterfactually guided policy transferin clinical settings. W2 Laleh Seyyed-Kalantari, Karsten Roth, MengyeRen, Parsa Torabian, Joseph P. Cohen, Marzyeh Ghassemi. Ghassemi, M. Wu, M., Feng, M . 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. We are building an open database of COVID-19 cases with chest X-ray or CT images. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT (CV). - ieee8023/covid-chestxray-dataset Incremental few-shot learning for low- and multi-label medical image pathology classiï¬cation.