MATHEMATICIAN

Lai-Sang Young

1952 - Today

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Lai-Sang Lily Young (Chinese: 楊麗笙, born 1952) is a Hong Kong-born American mathematician who holds the Henry & Lucy Moses Professorship of Science and is a professor of mathematics and neural science at the Courant Institute of Mathematical Sciences of New York University. Her research interests include dynamical systems, ergodic theory, chaos theory, probability theory, statistical mechanics, and neuroscience. She is particularly known for introducing the method of Markov returns in 1998, which she used to prove exponential correlation delay in Sinai billiards and other hyperbolic dynamical systems. Read more on Wikipedia

Her biography is available in 15 different languages on Wikipedia. Lai-Sang Young is the 996th most popular mathematician (down from 994th in 2024), the 110th most popular biography from Hong Kong (down from 105th in 2019) and the most popular Chinese Mathematician.

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Among MATHEMATICIANS

Among mathematicians, Lai-Sang Young ranks 996 out of 1,004. Before her are Euphemia Haynes, Manjul Bhargava, Hugo Duminil-Copin, Steven Strogatz, Joan Birman, and Raman Parimala. After her are Akshay Venkatesh, Svetlana Jitomirskaya, Edward Frenkel, Hee Oh, Daniel J. Bernstein, and Ulrike Tillmann.

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Contemporaries

Among people born in 1952, Lai-Sang Young ranks 777. Before her are Charlie Spedding, Raman Singh, Segun Odegbami, Deepti Naval, Dalip Tahil, and Medea Benjamin. After her are Armelia McQueen, Vidhu Vinod Chopra, Peter Tatchell, Ashfaq Parvez Kayani, Prakash Jha, and Ronald M. Sega.

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In Hong Kong

Among people born in Hong Kong, Lai-Sang Young ranks 110 out of 115. Before her are Josie Ho (1974), Myolie Wu (1979), Shawn Yue (1981), Jimmy O. Yang (1987), Aarif Rahman (1987), and Celina Jade (1985). After her are Elim Chan (1986), Sally Phillips (1970), Tavia Yeung (1979), Niki Chow (1979), Ron Ng (1979), and Joshua Wong (1996).

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Among MATHEMATICIANS In Hong Kong

Among mathematicians born in Hong Kong, Lai-Sang Young ranks 1. 

Chinese born Mathematicians

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