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