October 28–31, 2019
Yann Dupis

Yann Dupis
Machine Learning Engineer and Privacy Researcher, Dropout Labs

Yann Dupis is a machine learning engineer and privacy researcher at Dropout Labs. Previously, he was an actuary at the largest insurance company in Canada in reinsurance and then in research and development, and he managed a data science team at Deloitte in San Francisco, working with several Fortune 500 enterprises in the consumer and product industry. He holds an MASc in electrical and computer engineering from Institut Superieur d’Electronique de Paris. In his free time, you can find him surfing at Ocean Beach or indoor rock climbing in San Francisco.


1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom G
Jason Mancuso (Dropout Labs), Yann Dupis (Dropout Labs)
Average rating: ****.
(4.00, 1 rating)
Jason Mancuso and Yann Dupis demonstrate how to build and deploy privacy-preserving machine learning models using TF Encrypted, PySyft-TensorFlow, and the TensorFlow ecosystem. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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