Age, Biography and Wiki
Michael Sipser (Michael Fredric Sipser) was born on 17 September, 1954 in Brooklyn, New York, is an American theoretical computer scientist (born 1954). Discover Michael Sipser'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 69 years old?
Popular As |
Michael Fredric Sipser |
Occupation |
N/A |
Age |
69 years old |
Zodiac Sign |
Virgo |
Born |
17 September, 1954 |
Birthday |
17 September |
Birthplace |
Brooklyn, New York |
Nationality |
United States
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We recommend you to check the complete list of Famous People born on 17 September.
He is a member of famous computer with the age 69 years old group.
Michael Sipser Height, Weight & Measurements
At 69 years old, Michael Sipser height not available right now. We will update Michael Sipser'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 |
Body Measurements |
Not Available |
Eye Color |
Not Available |
Hair Color |
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.
Family |
Parents |
Not Available |
Wife |
Not Available |
Sibling |
Not Available |
Children |
Not Available |
Michael Sipser Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Michael Sipser worth at the age of 69 years old? Michael Sipser’s income source is mostly from being a successful computer. He is from United States. We have estimated Michael Sipser'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 |
computer |
Michael Sipser Social Network
Timeline
Michael Fredric Sipser (born September 17, 1954) is an American theoretical computer scientist who has made early contributions to computational complexity theory.
He is a professor of applied mathematics and was the Dean of Science at the Massachusetts Institute of Technology.
Sipser was born and raised in Brooklyn, New York and moved to Oswego, New York when he was 12 years old.
He earned his BA in mathematics from Cornell University in 1974 and his PhD in engineering from the University of California at Berkeley in 1980 under the direction of Manuel Blum.
In 1975, he wagered an ounce of gold with Leonard Adleman that the problem would be solved with a proof that P≠NP by the end of the 20th century.
He joined MIT's Laboratory for Computer Science as a research associate in 1979 and then was a Research Staff Member at IBM Research in San Jose.
In 1980, he joined the MIT faculty.
He spent the 1985–1986 academic year on the faculty of the University of California at Berkeley and then returned to MIT.
Sipser sent Adleman an American Gold Eagle coin in 2000 because the problem remained (and remains) unsolved.
Sipser is the author of Introduction to the Theory of Computation, a textbook for theoretical computer science.
Sipser lives in Cambridge, Massachusetts with his wife, Ina, and has two children: a daughter, Rachel, who graduated from New York University, and a younger son, Aaron, who graduated from MIT.
From 2004 until 2014, he served as head of the MIT Mathematics department.
He was appointed Interim Dean of the MIT School of Science in 2013 and Dean in 2014.
In 2015 he was elected as a fellow of the American Mathematical Society "for contributions to complexity theory and for leadership and service to the mathematical community."
He was elected as an ACM Fellow in 2017.
Sipser specializes in algorithms and complexity theory, specifically efficient error correcting codes, interactive proof systems, randomness, quantum computation, and establishing the inherent computational difficulty of problems.
He introduced the method of probabilistic restriction for proving super-polynomial lower bounds on circuit complexity in a paper joint with Merrick Furst and James B. Saxe.
Their result was later improved to be an exponential lower bound by Andrew Yao and Johan Håstad.
In an early derandomization theorem, Sipser showed that BPP is contained in the polynomial hierarchy, subsequently improved by Peter Gács and Clemens Lautemann to form what is now known as the Sipser-Gács-Lautemann theorem.
Sipser also established a connection between expander graphs and derandomization.
He and his PhD student Daniel Spielman introduced expander codes, an application of expander graphs.
Sipser has long been interested in the P versus NP problem.
He is a fellow of the American Academy of Arts and Sciences.