Monday, January 18, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

AQR head of machine learning set to leave after 7 months

April 6, 2019
in Machine Learning
587
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: Google News



You might also like

Machine Learning Models: Generative vs. Discriminative

Forget coding, you can now solve your AI problems with Excel

Decentralized Autonomous Travel Solution Introduced by Fetch.ai, an AI and Machine Learning Network


Bloomberg


Marcos Lopez de Prado, head of machine learning at AQR Capital Management, is set to leave after less than a year at the firm.

AQR named Bryan Kelly, a researcher and Yale professor of finance, as the new leader of the AI effort, according to a person familiar with the matter. As part of the change, the firm bought certain intellectual property owned by Mr. Lopez de Prado, including multiple patent applications related to machine learning.

“We appreciate Dr. Lopez de Prado’s insightful contributions, we value his thought leadership, and we wish him every success in his future endeavors,” Suzanne Escousse, an AQR principal, said Friday in a statement.


Related Coverage






The quantitative investing giant, which was co-founded by billionaire Cliff Asness and manages $196 billion, has struggled to make money for investors recently. More than half of its about 40 funds lost money in the past year, according to data compiled by Bloomberg.

Mr. Lopez de Prado, who holds two doctorates, had earlier worked at Guggenheim Partners where he helped build a proprietary quantitative-strategy business that managed as much as $13 billion.

When Guggenheim announced Mr. Lopez de Prado’s departure in early 2018, it said he was leaving to start his own business and agreed to transfer to him the quant unit he started. As part of the agreement, Guggenheim said that it had amicably resolved a dispute over ownership of intellectual property, some of which was developed by him during his time at the firm.

AQR hired him in September to fill a newly created role, leading a group in analyzing complex data for strategy development.

“During my tenure, I enjoyed collaborating with the innovative team at AQR on machine learning tools and techniques, and I am confident that AQR will continue to succeed for decades to come,” Mr. Lopez de Prado, a principal at the firm, said in an email.

Mr. Kelly has been with Greenwich, Connecticut-based AQR for three years. He has a doctorate from NYU’s Stern School of Business and worked as an analyst at Morgan Stanley (MS). Last year he co-authored a paper on asset pricing and machine learning, and has researched topics including volatility, market efficiency and hedge fund returns.

AQR had been exploring AI, without a dedicated effort until Mr. Lopez de Prado came onboard. Mr. Asness has previously expressed skepticism that machine learning will alter the very basics of investing, but has said there’s potential to enhance existing strategies.

Mr. Lopez de Prado will remain at AQR for a short period of time to help with the transfer of his technologies to the firm, according to the statement. He plans to use the proceeds from his sale of IP rights to launch a firm, which will develop machine learning algorithms for institutional investors, according to a person familiar with his thinking.






Credit:
Google News

Previous Post

FBI criticized for delaying breach notifications, including insufficient details

Next Post

Warner Music Group Makes Record Deal with an Algorithm

Related Posts

Machine Learning Models: Generative vs. Discriminative
Machine Learning

Machine Learning Models: Generative vs. Discriminative

January 18, 2021
Forget coding, you can now solve your AI problems with Excel
Machine Learning

Forget coding, you can now solve your AI problems with Excel

January 17, 2021
Decentralized Autonomous Travel Solution Introduced by Fetch.ai, an AI and Machine Learning Network
Machine Learning

Decentralized Autonomous Travel Solution Introduced by Fetch.ai, an AI and Machine Learning Network

January 17, 2021
Online training programme on Machine Learning concludes at SKUAST
Machine Learning

Online training programme on Machine Learning concludes at SKUAST

January 17, 2021
Cents and Sensibility of AIOps
Machine Learning

Cents and Sensibility of AIOps

January 17, 2021
Next Post
Warner Music Group Makes Record Deal with an Algorithm

Warner Music Group Makes Record Deal with an Algorithm

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Reading Multiple CSVs into Merged R Dataframe
Data Science

Reading Multiple CSVs into Merged R Dataframe

January 18, 2021
Machine Learning Models: Generative vs. Discriminative
Machine Learning

Machine Learning Models: Generative vs. Discriminative

January 18, 2021
Phishing warning: These are the brands most likely to be impersonated by crooks, so stay alert
Internet Security

Phishing warning: These are the brands most likely to be impersonated by crooks, so stay alert

January 18, 2021
Cloud Migration Planning & Checklist for Effective Migration
Data Science

Cloud Migration Planning & Checklist for Effective Migration

January 17, 2021
Forget coding, you can now solve your AI problems with Excel
Machine Learning

Forget coding, you can now solve your AI problems with Excel

January 17, 2021
Trump ban: No ‘moment for celebration’ in the eyes of Twitter chief
Internet Security

Trump ban: No ‘moment for celebration’ in the eyes of Twitter chief

January 17, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Reading Multiple CSVs into Merged R Dataframe January 18, 2021
  • Machine Learning Models: Generative vs. Discriminative January 18, 2021
  • Phishing warning: These are the brands most likely to be impersonated by crooks, so stay alert January 18, 2021
  • Cloud Migration Planning & Checklist for Effective Migration January 17, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates