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Lew Tucker Biography

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Lew Tucker, Cisco

Lew Tucker is Vice President and Chief Technology Officer of Cloud Computing at Cisco. He is a recognized leader in the industry focused on emerging technologies - having played a part in several major high-tech waves including high-performance computing, Java technology and, now, cloud computing.

Prior to joining Cisco, Lew was Vice President and Chief Technology Officer for Cloud Computing at Sun Microsystems, where he led the development of its infrastructure-as-a-service offering. He has over 20 years experience in the high-tech industry—ranging from distributed systems and artificial intelligence, to software development and systems architecture. Accomplishments include the development of Sun Cloud, Salesforce.com’s AppExchange, the java.com developer community, and a contributor to the design of the Connection Machine supercomputer.

Lew’s interest in distributed systems stem from his tenure at Thinking Machines, an early leader in supercomputing technology, where large scale problems could only be addressed by using thousands of individual processors. Today, as the internet evolves, companies are following a similar trajectory and building out large scale cloud computing platforms. Transformation of systems into scalable platforms remains a long-term interest.

Lew holds a PhD and Masters in Computer Science with a specialization in artificial intelligence from the Polytechnic Institute of New York University as well as a Bachelor’s Degree in Biology from Cornell University.

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In the Media

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Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News

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Register soon as places fill quickly.

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QCRI hosts humanitarian data skills workshop

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