Age, Biography and Wiki
Brendan Frey (Brendan John Frey) was born on 29 August, 1968, is an An academic staff of the University of Toronto. Discover Brendan Frey'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 55 years old?
Popular As |
Brendan John Frey |
Occupation |
N/A |
Age |
55 years old |
Zodiac Sign |
Virgo |
Born |
29 August, 1968 |
Birthday |
29 August |
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N/A |
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We recommend you to check the complete list of Famous People born on 29 August.
He is a member of famous academic with the age 55 years old group.
Brendan Frey Height, Weight & Measurements
At 55 years old, Brendan Frey height not available right now. We will update Brendan Frey'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.
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Not Available |
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Not Available |
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Brendan Frey Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Brendan Frey worth at the age of 55 years old? Brendan Frey’s income source is mostly from being a successful academic . He is from . We have estimated Brendan Frey'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 |
academic |
Brendan Frey Social Network
Timeline
Brendan John Frey FRSC (born 29 August 1968) is a Canadian-born entrepreneur, engineer and scientist.
He is Founder and CEO of Deep Genomics, Cofounder of the Vector Institute for Artificial Intelligence and Professor of Engineering and Medicine at the University of Toronto.
Frey is a pioneer in the development of machine learning and artificial intelligence methods, their use in accurately determining the consequences of genetic mutations, and in designing medications that can slow, stop or reverse the progression of disease.
In the late 1990s, Frey was a leading researcher in the areas of computer vision, speech recognition, and digital communications.
Frey studied computer engineering and physics at the University of Calgary (BSc 1990) and the University of Manitoba (MSc 1993), and then studied neural networks and graphical models as a doctoral candidate at the University of Toronto under the supervision of Geoffrey Hinton (PhD 1997).
Following his undergraduate studies, Frey worked as a junior research scientist at Bell-Northern Research from 1990 to 1991.
As far back as 1995, Frey co-invented one of the first deep learning methods, called the wake-sleep algorithm, the affinity propagation algorithm for clustering and data summarization, and the factor graph notation for probability models.
He was an invited participant of the Machine Learning program at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK (1997) and was a Beckman Fellow at the University of Illinois at Urbana Champaign (1999).
After completing his postdoctoral studies at the University of Illinois at Urbana-Champaign, Frey was an assistant professor in the Department of Computer Science at the University of Waterloo, from 1999 to 2001.
In 2001, Frey joined the Department of Electrical and Computer Engineering at the University of Toronto and was cross-appointed to the Department of Computer Science, the Banting and Best Department of Medical Research and the Terrence Donnelly Centre for Cellular and Biomolecular Research.
Between 2001 and 2014, Frey consulted for several groups at Microsoft Research and acted as a member of its Technical Advisory Board.
In 2002, a personal crisis led Frey to face the fact that there was a tragic gap between our ability to measure a patient's mutations and our ability to understand and treat the consequences.
Recognizing that biology is too complex for humans to understand, that in the decades to come there would be an exponential growth in biology data, and that machine learning is the best technology we have for discovering relationships in large datasets, Frey set out to build machine learning systems that could accurately predict genome and cell biology.
Frey’s group pioneered much of the early work in the field and over the next 15 years published more papers in leading-edge journals than any other academic or industrial research lab.
From 2008 to 2009, he was a visiting researcher at Microsoft Research (Cambridge, UK) and a visiting professor in the Cavendish Laboratories and Darwin College at Cambridge University.
In 2015, Frey founded Deep Genomics, with the goal of building a company that can produce effective and safe genetic medicines more rapidly and with a higher rate of success than was previously possible.
The company has received 240 million dollars in funding to date from leading Bay Area investors, including the backers of SpaceX and Tesla.