Peter Kairouz

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Research Scientist at Google
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Google AI Profile
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Contact: last name at company name dot com

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Biography

Peter Kairouz is a research scientist at Google, where he leads research efforts on distributed, privacy-preserving, and robust machine learning. Prior to joining Google, he was a postdoctoral research fellow at Stanford University, and before that, he was a PhD student at the University of Illinois Urbana-Champaign (UIUC). He is the recipient of the 2012 Roberto Padovani Scholarship from Qualcomm's Research Center, the 2015 ACM SIGMETRICS Best Paper Award, the 2015 Qualcomm Innovation Fellowship Finalist Award, and the 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching from UIUC.

Education

Stanford University

  • Postdoctoral Research Fellow, August 2018

University of Illinois at Urbana-Champaign

  • Ph.D. in Electrical and Computer Engineering, May 2016

  • M.S. in Applied Mathematics, May 2016

  • M.S. in Electrical and Computer Engineering, December 2012

American University of Beirut

  • B.E. in Electrical and Computer Engineering, June 2010

Awards

University of Illinois at Urbana-Champaign

  • The 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching

Association for Computing Machinery (ACM)

  • Best Paper Award at ACM SIGMETRICS 2015, with Giulia Fanti, Sewoong Oh, and Pramod Viswanath

Qualcomm Incorporated

  • Qualcomm Innovation Fellowship Finalist Award 2015, with Giulia Fanti

  • The 2012 Roberto Padovani Scholarship

American University of Beirut

  • Distinguished ECE Graduate Award, 2010

  • Benjamin Franklin Scholarship from the United States Agency for International Development, 2006

  • Graduated with High Distinction, 2006

Research Experience

Google AI, Google

  • Federated Learning and Differential Privacy, August 2018 - Present

Information Systems Laboratory, Stanford University

  • On-device Intelligence and Context-Aware Privacy, September 2016 - August 2018

Coordinated Science Laboratory, University of Illinois

  • Metadata Privacy and Privacy-Preserving Learning, January 2013 - August 2016

Google Research, Google Incorporated

  • Privacy Preserving Machine Learning Algorithms, May 2015 - August 2015

Qualcomm Research, Qualcomm Incorporated

  • Interference-Aware Rate Control for Small Cells, May 2013 - September 2013

Coordinated Science Laboratory, University of Illinois

  • Multi-Input Multi-Output Communications over Optical Networks, August 2010 - December 2012

Qualcomm Research, Qualcomm Incorporated

  • Variable Block Length Coding for LTE Systems, May 2012 - September 2012

Center for Automation Research, University of Maryland

  • Face Recognition Algorithms for Large Datasets, June 2009 - September 2009

Teaching Experience

Conferences Organized