Ravid Shwartz-Ziv

Ravid Shwartz-Ziv

Assistant Professor and Faculty Fellow

New York University

I’m an Assistant Professor and a Fellow at NYU Center for Data Science, New York, where I’m working with Andrew Gordon Wilson and Yann LeCun to understand and develop better models using Bayesian deep networks, information theory, and self-supervised learning.

I completed my Ph.D. under Prof Naftali Tishby’s supervision  at the Hebrew University of Jerusalem, where I also worked with Prof. Haim Sompolinsky. In my Ph.D., I focused on the connection between deep neural networks and information theory. I tried to develop a deeper understating of deep networks based on information theory and implement it over large-scale problems. I received the Google Ph.D. Fellowship.

Additionally, I am a researcher at Intel’s Artificial Intelligence Research Group. There, I am involved in the development of deep learning, computer vision, and sensory data solutions for healthcare, manufacturing, and marketing, both internally and externally.

In 2019-2020, I worked at Google Brain, CA, USA, exploring DNN generalization using information theory tools.

In the past, I have also been involved in several Wikipedia projects.  I volunteer at The Public Knowledge Workshop in my spare time.

And I also enjoy playing basketball. 

Interests

  • Artificial Intelligence
  • Computational Neuroscience
  • Information Theory
  • Bayesian deep networks

Education

  • PhD in Computer Science and Neuroscience, 2021

    The Hebrew University of Jerusalem

  • MSc in Computer Science and Neuroscience, 2016

    The Hebrew University of Jerusalem

  • BSc in Computer Science and Bioinformatics, 2014

    The Hebrew University of Jerusalem

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