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职业迁徙
个人简介
Keith Harrigian is a second-year PhD Student in Computer Science at Johns Hopkins University. With his advisor Mark Dredze, Keith researches computational and statistical methods for modeling natural language. He is particularly interested in developing interpretable forms of machine learning to aid in clinical decision making and public health research. Prior to joining Johns Hopkins, Keith was a Senior Quantitative Analyst at Warner Media where he leveraged machine learning and natural language processing to mine social media data for applications to film and television marketing. He holds a B.S. in Mathematics with minors in Physics and Music from Northeastern University.
研究兴趣
论文共 17 篇作者统计合作学者相似作者
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Hyewon Jeong,Sarah Jabbour,Yuzhe Yang, Rahul Thapta,Hussein Mozannar,William Jongwon Han,Nikita Mehandru,Michael Wornow,Vladislav Lialin,Xin Liu,Alejandro Lozano, Jiacheng Zhu,
Machine Learning for Health Workshoppp.1-12, (2024)
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Hyewon Jeong,Sarah Jabbour,Yuzhe Yang, Rahul Thapta,Hussein Mozannar,William Jongwon Han,Nikita Mehandru,Michael Wornow,Vladislav Lialin,Xin Liu,Alejandro Lozano, Jiacheng Zhu,
arxiv(2024)
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JOURNAL OF GENERAL INTERNAL MEDICINE (2023): S198-S198
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Cindy X. Cai,Diep Tran, Tina Tang, Wilson Liou,Keith Harrigian, Emily Scott,Paul Nagy, Hadi Kharrazi,Deidra C. Crews,Scott L. Zeger
Ophthalmology Scienceno. 3 (2023): 100295-100295
CoRR (2023)
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Somnath Saha,Keith Harrigian,Mark Dredze,Dingfen Han,Brant Chee, Ayah Zirikly,Anne Links, Alya Ahmad,Shari Lawson,Nae-Yuh Wang,Mary Catherine Beach
JOURNAL OF GENERAL INTERNAL MEDICINE (2023): S200-S200
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14th ACM Web Science Conference 2022 (2022)
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