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