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