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Episode 42: Privacy-Preserving Natural Language Processing with Patricia Thaine

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Content provided by James Le. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by James Le 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://player.fm/legal.
Patricia Thaine is a Computer Science Ph.D. Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute researching privacy-preserving natural language processing, with a focus on applied cryptography. Her research interests also include computational methods for lost language decipherment. She is the Co-Founder and CEO of Private AI, a Toronto- and Berlin-based startup creating a suite of privacy tools that make it easy to comply with data protection regulations, mitigate cybersecurity threats, and maintain customer trust.
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133 episodes

Artwork
iconShare
 
Manage episode 271830392 series 2593033
Content provided by James Le. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by James Le 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://player.fm/legal.
Patricia Thaine is a Computer Science Ph.D. Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute researching privacy-preserving natural language processing, with a focus on applied cryptography. Her research interests also include computational methods for lost language decipherment. She is the Co-Founder and CEO of Private AI, a Toronto- and Berlin-based startup creating a suite of privacy tools that make it easy to comply with data protection regulations, mitigate cybersecurity threats, and maintain customer trust.
  continue reading

133 episodes

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