Age, Biography and Wiki
Jeffrey Brock was born on 14 June, 1970, is an American mathematician. Discover Jeffrey Brock'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 53 years old?
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| Age |
53 years old |
| Zodiac Sign |
Gemini |
| Born |
14 June 1970 |
| Birthday |
14 June |
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We recommend you to check the complete list of Famous People born on 14 June.
He is a member of famous mathematician with the age 53 years old group.
Jeffrey Brock Height, Weight & Measurements
At 53 years old, Jeffrey Brock height not available right now. We will update Jeffrey Brock's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Not Available |
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Not Available |
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Not Available |
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Not Available |
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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Not Available |
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Jeffrey Brock Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Jeffrey Brock worth at the age of 53 years old? Jeffrey Brock’s income source is mostly from being a successful mathematician. He is from . We have estimated Jeffrey Brock'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 |
| House |
Not Available |
| Cars |
Not Available |
| Source of Income |
mathematician |
Jeffrey Brock Social Network
Timeline
Jeffrey Farlowe Brock (born June 14, 1970 in Bronxville, New York) is an American mathematician, working in low-dimensional geometry and topology.
He is known for his contributions to the understanding of hyperbolic 3-manifolds and the geometry of Teichmüller spaces.
Brock obtained a BA (with distinction in Mathematics) from Yale University in 1992.
He completed a Ph.D. in mathematics from the University of California, Berkeley in 1997, under the supervision of Curtis T. McMullen.
Brock then held positions as (NSF-funded) Szego Assistant Professor at Stanford University (1997–2000), assistant professor at the University of Chicago (2000–2003), and Donald D. Harrington Faculty Fellow at the University of Texas at Austin (2003–2004).
He became associate professor with tenure at Brown University in 2004, and a full professor in 2007.
Previously, he had been deputy director between 2010 and 2013.
He was chair of the Mathematics Department from 2013 to 2017.
Brock has been associate director of ICERM since 2013.
Since July 2018, Brock has been a Professor of Mathematics at Yale University, and in January 2019 he became the first FAS (Faculty of Arts and Sciences) dean of science at Yale.
Since July 2018, Brock has been a Professor of Mathematics at Yale University, and in January 2019 he became the first FAS (Faculty of Arts and Sciences) dean of science at Yale.
In July 2019, he was additionally appointed Dean of the Yale School of Engineering & Applied Science.
Before joining Yale, he was a professor at Brown University, and also founding director of the Data Science Initiative at Brown University.
In July 2019, he was additionally appointed Dean of the Yale School of Engineering & Applied Science.
Brock is also an accomplished jazz musician.
He is married and has three children.
Jeffrey Brock's research focuses on low-dimensional topology and geometry, particularly on spaces with hyperbolic geometry or negative curvature.
His joint work with Richard Canary and Yair Minsky resulted in a solution to the "Ending Lamination Conjecture" of William Thurston, culminating in the geometric classification theorem for (topologically finite) hyperbolic 3-manifolds in terms of their fundamental group and the structure of their ends.
More recently, he has worked to understand applications of geometry and topology to the structure of massive and complex data sets and the risks and implications of the increasing use of 'black box' algorithms in science and society.
