Javier Tordable

Javier Tordable

Seattle, Washington, United States
21K followers 500+ connections

About

Javier is a technology executive, investor and entrepreneur. Javier is currently leading…

Articles by Javier

  • Making healthcare more accessible to all through AI

    Anyone involved with the healthcare system knows that doctors spend an enormous amount of time reading and writing…

    7 Comments
  • The Golden Age of Structural Biology

    In 1953, Francis Crick and James Watson deciphered the double helix structure of DNA. That moment marked the birth of…

    9 Comments
  • The Moral Imperative for Extending Human Lifespan

    The most basic instinct of every living thing is to stay alive. Humans are no different.

    8 Comments
  • How AI Benefits Society

    It seems that these days you can’t turn on the news without hearing about AI. And how it’s going to improve this or…

    2 Comments
  • The Future of Games

    Look around you. 2 out of 3 people you can see play videogames.

    8 Comments

Activity

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Experience

  • Pauling AI Graphic

    Pauling AI

    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Greater Seattle Area

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    Madrid Area, Spain

Education

Licenses & Certifications

Publications

  • Mathematics at Google

    Overview of Mathematics at Google

    See publication
  • MapReduce for Integer Factorization

    Integer factorization is a very hard computational problem. Currently no efficient algorithm for integer factorization is publicly known. However, this is an important problem on which it relies the security of many real world cryptographic systems.
    I present an implementation of a fast factorization algorithm on MapReduce. MapReduce is a programming model for high performance applications developed originally at Google. The quadratic sieve algorithm is split into the different MapReduce…

    Integer factorization is a very hard computational problem. Currently no efficient algorithm for integer factorization is publicly known. However, this is an important problem on which it relies the security of many real world cryptographic systems.
    I present an implementation of a fast factorization algorithm on MapReduce. MapReduce is a programming model for high performance applications developed originally at Google. The quadratic sieve algorithm is split into the different MapReduce phases and compared against a standard implementation.

    See publication

Patents

Languages

  • English

    Native or bilingual proficiency

  • Spanish

    Native or bilingual proficiency

Organizations

  • AAAS

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    - Present

    American Association for the Advancement of Science

  • ACM

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    - Present

    Association for Computing Machinery

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