基本信息
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Bio
AI & data science researcher and team leader, award-winning PhD (three best paper awards), consultant to large corporations & startups (FinTech, healthcare, e-commerce) including Fortune 500 CEO, EVP and SVP levels, author of O’Reilly deep learning book, entrepreneurial experience, one of 200 young researchers selected to the Heidelberg Laureate Forum.
I have joined the Allen Institute for AI (AI2) and the University of Washington for postdoctoral research. Prior to that, I founded and led the core AI & data science research team of Intel's Advanced Analytics group (deep learning, NLP and computer vision research for healthcare, manufacturing, sales and marketing), in parallel to my PhD studies at the Hebrew University's CS department.
I received the best research paper and best student paper awards at KDD - the world's premier research venue in data science. My work appeared in top venues (PNAS, KDD, WSDM, EMNLP, ACL, ECML/PKDD, ICML, NIPS, IEEE, IJCAI, CSCW/CHI), won the best paper award at ICPRAM ‘19, received “most thought-provoking paper” highlight from MIT Technology Review, and appeared in popular press. I am author of O’Reilly's book on TensorFlow and deep learning.
I have joined the Allen Institute for AI (AI2) and the University of Washington for postdoctoral research. Prior to that, I founded and led the core AI & data science research team of Intel's Advanced Analytics group (deep learning, NLP and computer vision research for healthcare, manufacturing, sales and marketing), in parallel to my PhD studies at the Hebrew University's CS department.
I received the best research paper and best student paper awards at KDD - the world's premier research venue in data science. My work appeared in top venues (PNAS, KDD, WSDM, EMNLP, ACL, ECML/PKDD, ICML, NIPS, IEEE, IJCAI, CSCW/CHI), won the best paper award at ICPRAM ‘19, received “most thought-provoking paper” highlight from MIT Technology Review, and appeared in popular press. I am author of O’Reilly's book on TensorFlow and deep learning.
Research Interests
Papers共 53 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Ilia Kuznetsov,Osama Mohammed Afzal, Koen Dercksen,Nils Dycke,Alexander Goldberg,Tom Hope,Dirk Hovy, Jonathan K. Kummerfeld,Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam,
CoRR (2024)
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CoRR (2024)
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David Wadden, Kejian Shi,Jacob Morrison,Aakanksha Naik, Shruti Singh, Nitzan Barzilay,Kyle Lo,Tom Hope,Luca Soldaini, Shannon Zejiang Shen,Doug Downey,Hannaneh Hajishirzi,
arxiv(2024)
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Danna Niezni,Hillel Taub-Tabib,Yuval Harris,Hagit Sason,Yakir Amrusi, Dana Meron-Azagury,Maytal Avrashami,Shaked Launer-Wachs, Jon Borchardt, M. Kusold,Aryeh Tiktinsky,Tom Hope,
Artificial Intelligence in Medicine (2023): 102681-102681
CoRR (2023): 415-438
CoRR (2023): 403-412
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CoRR (2023)
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