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Episode 6: A Conversation with Dr. Michael Zargham, founder and CEO of BlockScience

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Manage episode 445691545 series 3608989
Content provided by IEEE Future Directions and IEEE Blockchain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IEEE Future Directions and IEEE Blockchain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the IEEE Blockchain Podcast Series, we speak with Michael Zargham, founder and CEO of BlockScience. Dr. Zargham holds a Ph.D. in systems engineering from the University of Pennsylvania where he studied optimization and control of decentralized networks. His earliest work on peer-to-peer effects in business decision making was developing algorithms to reverse engineer the word of mouth effect in enterprise software licensing decisions in 2005. In the intervening years, Dr. Zargham has designed data driven decision systems and built a data science team for a Media Technology firm, worked on the mathematical specifications of blockchain enabled software systems with a focus on observability and controllability of the information state of the networks.
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17 episodes

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Manage episode 445691545 series 3608989
Content provided by IEEE Future Directions and IEEE Blockchain. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IEEE Future Directions and IEEE Blockchain or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
In this episode of the IEEE Blockchain Podcast Series, we speak with Michael Zargham, founder and CEO of BlockScience. Dr. Zargham holds a Ph.D. in systems engineering from the University of Pennsylvania where he studied optimization and control of decentralized networks. His earliest work on peer-to-peer effects in business decision making was developing algorithms to reverse engineer the word of mouth effect in enterprise software licensing decisions in 2005. In the intervening years, Dr. Zargham has designed data driven decision systems and built a data science team for a Media Technology firm, worked on the mathematical specifications of blockchain enabled software systems with a focus on observability and controllability of the information state of the networks.
  continue reading

17 episodes

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