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Lai-Sang Young is an American mathematician and professor at the Courant Institute of Mathematical Sciences at New York University. She was born in 1952 in Hong Kong and is 68 years old. Young received her B.A. in mathematics from the University of California, Berkeley in 1974 and her Ph.D. in mathematics from the University of California, Los Angeles in 1978. She has held visiting positions at the Institute for Advanced Study, Princeton, the Institute for Mathematics and its Applications, the University of Minnesota, and the University of California, Berkeley. Young is a Fellow of the American Mathematical Society and a member of the National Academy of Sciences. She has received numerous awards, including the National Science Foundation Presidential Young Investigator Award, the American Mathematical Society's Steele Prize for Lifetime Achievement, and the American Mathematical Society's Leroy P. Steele Prize for Seminal Contribution to Research. Young's research focuses on dynamical systems, partial differential equations, and mathematical biology. She is the author of several books, including The Geometry of Biological Time and The Mathematics of Biological Systems. Young is married and has two children. She is not known to have any affairs.

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Age 71 years old
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Lai-Sang Young Height, Weight & Measurements

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She is currently single. She is not dating anyone. We don't have much information about She's past relationship and any previous engaged. According to our Database, She has no children.

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Lai-Sang Young Net Worth

Her net worth has been growing significantly in 2022-2023. So, how much is Lai-Sang Young worth at the age of 71 years old? Lai-Sang Young’s income source is mostly from being a successful . She is from Hong Kong. We have estimated Lai-Sang Young's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
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Timeline

2020

In 2020 she was elected a member of the National Academy of Sciences.

2013

Although born and raised in Hong Kong, Young came to the US for her education, earning a bachelor's degree from the University of Wisconsin–Madison in 1973. She moved to the University of California, Berkeley for her graduate studies, earning a master's degree in 1976 and completing her doctorate in 1978, under the supervision of Rufus Bowen. She taught at Northwestern University from 1979 to 1980, Michigan State University from 1980 to 1986, the University of Arizona from 1987 to 1990, and the University of California, Los Angeles from 1991 to 1999. She has been the Moses Professor at NYU since 1999.

2004

In 2004, she was elected as a fellow of the American Academy of Arts and Sciences.

1994

Young was an invited speaker at the International Congress of Mathematicians in 1994, and an invited plenary speaker at the 2018 International Congress of Mathematicians. In 2005, she presented the Noether Lecture of the Association for Women in Mathematics; her talk was entitled "From Limit Cycles to Strange Attractors". In 2007, she presented the Sonia Kovalevsky lecture, jointly sponsored by the AWM and the Society for Industrial and Applied Mathematics.

1993

In 1993, Young was given the Ruth Lyttle Satter Prize in Mathematics of the American Mathematical Society "for her leading role in the investigation of the statistical (or ergodic) properties of dynamical systems". This is a biennial award for outstanding research contributions by a female mathematician.

1985

Young became a Sloan Fellow in 1985, and a Guggenheim Fellow in 1997.

1952

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.