Age, Biography and Wiki
Klaus-Robert Müller was born on 29 December, 1964 in Karlsruhe, West Germany, is a German computer scientist. Discover Klaus-Robert Müller'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 59 years old?
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| Age |
59 years old |
| Zodiac Sign |
Capricorn |
| Born |
29 December, 1964 |
| Birthday |
29 December |
| Birthplace |
Karlsruhe, West Germany |
| Nationality |
West
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We recommend you to check the complete list of Famous People born on 29 December.
He is a member of famous Computer with the age 59 years old group.
Klaus-Robert Müller Height, Weight & Measurements
At 59 years old, Klaus-Robert Müller height not available right now. We will update Klaus-Robert Müller's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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| Height |
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.
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| Parents |
Not Available |
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Not Available |
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Not Available |
| Children |
Not Available |
Klaus-Robert Müller Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Klaus-Robert Müller worth at the age of 59 years old? Klaus-Robert Müller’s income source is mostly from being a successful Computer. He is from West. We have estimated Klaus-Robert Müller'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 |
Klaus-Robert Müller Social Network
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Timeline
Klaus-Robert Müller (born 1964 in Karlsruhe, West Germany) is a German computer scientist and physicist, most noted for his work in machine learning and brain–computer interfaces.
Klaus-Robert Müller received his Diplom in mathematical physics and PhD in theoretical computer science from the University of Karlsruhe.
Following his Ph.D. he went to Berlin as a postdoctoral fellow at GMD (German National Research Center for Computer Science) Berlin (now part of Fraunhofer Institute for Open Communication Systems), where he started building up the Intelligent Data Analysis (IDA) group.
From 1994 to 1995 he was a research fellow at Shun'ichi Amari's lab at the University of Tokyo.
1999 Müller became an associate professor for neuroinformatics at the University of Potsdam, transitioning to the full professorship for Neural Networks and Time Series Analysis in 2003.
Since 2006 he holds the chair for Machine Learning at the Technical University Berlin.
Since 2012 he holds a distinguished professorship at Korea University in Seoul.
He co-founded and is co-director of the Berlin Big Data Center (BBDC) of the Technical University Berlin.
Klaus-Robert Müller was elected a fellow of the German National Academy of Sciences Leopoldina in 2012.
As of 2017, 29 former doctoral or postdoctoral researchers of Klaus-Robert Müller have become full professors themselves.
Bernhard Schölkopf and Alexander J. Smola were supervised by him as members of his research group.
In 2017 he was elected member of the Berlin-Brandenburg Academy of Sciences and Humanities and also external scientific member of the Max Planck Society.
In 2021 he was elected member of the German Academy of Science and Engineering.
His work was honoured with several awards, including:
Since 2020 he is director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD), a German National AI Competence Center, and director of the European Laboratory for Learning and Intelligent Systems (ELLIS) unit Berlin.
In 2020/2021 he spent his sabbatical at Google Brain as a Principal Scientist.
Müller has contributed extensively to several major interests of machine learning, including support vector machines (SVMs) and kernel methods, and artificial neural networks.
He pioneered applying new methods of pattern recognition in domains like brain–computer interfaces, using them for patients with Locked-in syndrome.
He is one of the leading computer scientists affiliated with Germany.
His current research interests include:
