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Scott Sheffield was born on 20 October, 1973 in United States, is an American mathematician. Discover Scott Sheffield's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 50 years old?

Popular As N/A
Occupation N/A
Age 50 years old
Zodiac Sign Libra
Born 20 October 1973
Birthday 20 October
Birthplace N/A
Nationality United States

We recommend you to check the complete list of Famous People born on 20 October. He is a member of famous mathematician with the age 50 years old group.

Scott Sheffield Height, Weight & Measurements

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Dating & Relationship status

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

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Children 4

Scott Sheffield Net Worth

His net worth has been growing significantly in 2023-2024. So, how much is Scott Sheffield worth at the age of 50 years old? Scott Sheffield’s income source is mostly from being a successful mathematician. He is from United States. We have estimated Scott Sheffield's net worth, money, salary, income, and assets.

Net Worth in 2024 $1 Million - $5 Million
Salary in 2024 Under Review
Net Worth in 2023 Pending
Salary in 2023 Under Review
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Source of Income mathematician

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Timeline

1973

Scott Sheffield (born October 20, 1973) is a professor of mathematics at the Massachusetts Institute of Technology.

His primary research field is theoretical probability.

Much of Sheffield's work examines conformal invariant objects which arise in the study of two-dimensional statistical physics models.

He studies the Schramm–Loewner evolution SLE(κ) and its relations to a variety of other random objects.

For example, he proved that SLE describes the interface between two Liouville quantum gravity surfaces that have been conformally welded together.

In joint work with Oded Schramm, he showed that contour lines of the Gaussian free field are related to SLE(4).

With Jason Miller, he developed the theory of Gaussian free field flow lines, which include SLE(κ) for all values of κ, as well as many variants of SLE.

Sheffield and Bertrand Duplantier proved the Knizhnik–Polyakov–Zamolodchikov (KPZ) relation for fractal scaling dimensions in Liouville quantum gravity.

Sheffield also defined the conformal loop ensembles, which serve as scaling limits of the collection of all interfaces in various statistical physics models.

In joint work with Wendelin Werner, he described the conformal loop ensembles as the outer boundaries of clusters of Brownian loops.

In addition to these contributions, Sheffield has also proved results regarding internal diffusion-limited aggregation, dimers, game theory, partial differential equations, and Lipschitz extension theory.

1998

Sheffield graduated from Harvard University in 1998 with an A.B. and A.M. in mathematics.

2003

In 2003, he received his Ph.D. in mathematics from Stanford University.

Before becoming a professor at MIT, Sheffield held postdoctoral positions at Microsoft Research, the University of California at Berkeley, and the Institute for Advanced Study.

He was also an associate professor at New York University.

Scott Sheffield received the Loève Prize, the Presidential Early Career Award for Scientists and Engineers, the Sloan Research Fellowship, and the Rollo Davidson Prize.

2010

He was also an invited speaker at the 2010 meeting of the International Congress of Mathematicians and a plenary speaker in 2022.

2011

Since 2011, Sheffield has taught 18.600 (formerly 18.440), the introductory probability course at MIT.

Sheffield was a visiting professor at the Institute for Advanced Study for the 2022 to 2023 academic year.

2017

In 2017 he received the Clay Research Award jointly with Jason Miller.

He was elected to the American Academy of Arts and Sciences in 2021.

In 2023 he received the Leonard Eisenbud Prize for Mathematics and Physics of the AMS jointly with Jason Miller.