Age, Biography and Wiki
Daniel Goldstein was born on 21 April, 1969 in United States, is an American cognitive psychologist. Discover Daniel Goldstein'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 54 years old?
| Popular As |
N/A |
| Occupation |
N/A |
| Age |
54 years old |
| Zodiac Sign |
Taurus |
| Born |
21 April, 1969 |
| Birthday |
21 April |
| Birthplace |
United States |
| Nationality |
United States
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We recommend you to check the complete list of Famous People born on 21 April.
He is a member of famous with the age 54 years old group.
Daniel Goldstein Height, Weight & Measurements
At 54 years old, Daniel Goldstein height not available right now. We will update Daniel Goldstein'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 |
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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.
| Family |
| Parents |
Not Available |
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Not Available |
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Not Available |
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Not Available |
Daniel Goldstein Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Daniel Goldstein worth at the age of 54 years old? Daniel Goldstein’s income source is mostly from being a successful . He is from United States. We have estimated Daniel Goldstein'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 |
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Daniel Goldstein Social Network
Timeline
Daniel G. Goldstein (born 1969) is an American cognitive psychologist known for the specification and testing of heuristics and models of bounded rationality in the field of judgment and decision making.
He is an honorary research fellow at London Business School and works with Microsoft Research as a principal researcher.
Goldstein received his Bachelor of Science degree in computer science from the University of Wisconsin–Madison in 1993 and a Ph.D. in Cognitive Psychology from the University of Chicago in 1997.
Goldstein and his doctoral advisor Gerd Gigerenzer started the Center for Adaptive Behavior and Cognition at the Max Planck Institute in Germany, where Goldstein worked as a research scientist for several years.
In 2002, Goldstein became associate director of the Center for the Decision Sciences at Columbia University before becoming an assistant professor of marketing at London Business School in 2005.
In 2009, Goldstein accepted an offer as a principal research scientist at Yahoo!
In 2012, Goldstein was part of a group of Yahoo scientists who left en masse to found the New York City lab of Microsoft Research, where he is senior principal research manager.
Goldstein's doctoral thesis used computer simulation to study the accuracy and frugality of satisficing heuristics for making inferences.
Investigations of the take-the-best heuristic and the recognition heuristic were later published as journal articles in Psychological Review and in the book Simple Heuristics That Make Us Smart.
These fast and frugal heuristics have since had an impact in medicine, law and politics, and other areas outside psychology.
With Eric J. Johnson, Goldstein authored an article on organ donation in the journal Science Along with Nobel Laureate William F. Sharpe, he created the Distribution Builder method for eliciting probability distributions.
Hal Hershfield and Goldstein ran virtual reality experiments in which people saw renderings of themselves as senior citizens and increased their intentions to save for retirement, as discussed in Goldstein's TED talk The Battle Between Your Present and Future Self.
In 2014, Goldstein was elected president of the Society for Judgment and Decision Making.
