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个人简介
She is deeply committed to increasing racial and gender diversity in science, technology, engineering, and mathematics (STEM).
Chayes’ research areas include phase transitions in computer science, structural and dynamical properties of networks including graph algorithms, and applications of machine learning. She is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks. Her prior work in the modeling and analysis of random, dynamically growing graphs, is used to model the internet, the World Wide Web, and social and economic networks. Her more recent work focuses on machine learning, including applications in cancer immunotherapy, ethical decision-making, and climate change. She is the co-author of more than 150 scientific papers and the co-inventor of 30 patents.
She has received numerous awards for leadership and scientific contributions, including the Anita Borg Institute Women of Vision Leadership Award, the Society for Industrial and Applied Mathematics’ (SIAM) John von Neumann Lecture Award, the Association for Computing Machinery’s (ACM) Distinguished Service Award, and honorary doctorates from Bard College and Leiden University. Chayes is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. She is a fellow of the American Association for the Advancement of Science, the American Mathematical Society, the Association of Computing Machinery, the Association of Women in Mathematics, and the Fields Institute.
Chayes’ research areas include phase transitions in computer science, structural and dynamical properties of networks including graph algorithms, and applications of machine learning. She is one of the inventors of the field of graphons, which are widely used for the machine learning of large-scale networks. Her prior work in the modeling and analysis of random, dynamically growing graphs, is used to model the internet, the World Wide Web, and social and economic networks. Her more recent work focuses on machine learning, including applications in cancer immunotherapy, ethical decision-making, and climate change. She is the co-author of more than 150 scientific papers and the co-inventor of 30 patents.
She has received numerous awards for leadership and scientific contributions, including the Anita Borg Institute Women of Vision Leadership Award, the Society for Industrial and Applied Mathematics’ (SIAM) John von Neumann Lecture Award, the Association for Computing Machinery’s (ACM) Distinguished Service Award, and honorary doctorates from Bard College and Leiden University. Chayes is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. She is a fellow of the American Association for the Advancement of Science, the American Mathematical Society, the Association of Computing Machinery, the Association of Women in Mathematics, and the Fields Institute.
研究兴趣
论文共 257 篇作者统计合作学者相似作者
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Nakul Rampal, Kaiyu Wang, Matthew Burigana, Lingxiang Hou, Juri Al-Johani, Anna Sackmann, Hanan S. Murayshid, Walaa Abdullah Al-Sumari, Arwa M. Al-Abdulkarim, Nahla Eid Al-Hazmi, Majed O. Al-Awad,Christian Borgs,
CoRR (2024)
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ACM COMPUTING SURVEYSno. 2 (2023): 1-96
Shengchao Liu,Weitao Du, Yanjing Li, Zhuoxinran Li,Zhiling Zheng,Chenru Duan,Zhiming Ma,Omar Yaghi,Anima Anandkumar,Christian Borgs,Jennifer Chayes,Hongyu Guo,
NeurIPS (2023)
JOURNAL OF THE AMERICAN CHEMICAL SOCIETYno. 51 (2023): 28284-28295
Journal of the American Chemical Societyno. 32 (2023): 18048-18062
CoRR (2023)
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ACS CENTRAL SCIENCEno. 11 (2023): 2161-2170
CoRR (2023): 12-21
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作者统计
#Papers: 205
#Citation: 12986
H-Index: 55
G-Index: 108
Sociability: 6
Diversity: 1
Activity: 1
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