Ravid Shwartz-Ziv

Ravid Shwartz-Ziv

Research scientist & PhD Student

New York University

I’m a CDS Faculty Fellow at the NYU Center for Data Science, where I mostly work with Andrew Gordon Wilson and Yann Lecun on Bayesian deep networks, information theory, and self-supervised learning.

I completed my Ph.D. under the supervision of Prof Naftali Tishby and Prof Haim Sompolinsky at the Hebrew University of Jerusalem. In my Ph.D., I focused on the connection between deep neural networks (DNNs) and information theory. I tried to develop a deeper understating of DNNs based on information theory and to implement it over large scale problems. I recived the Google PhD Fellowship.

In parallel, I work as a researcher at the A.I. & data science research team of Intel’s Advanced Analytics group. There, I am involved in several projects. Mainly, development of deep learning, computer vision, and sensory data solutions for healthcare, manufacturing, and marketing, for both internal and external uses.

In 2019-2020 I had the opportunity to work as a research student at Google Brain, CA, USA. In this position, I explored the generalization ability of DNNs using information theory tools.

In the past, I was also involved in developing some projects for Wikipedia.

In my free, I volunteer as a developer at The Public Knowledge Workshop.

And I love basketball :)


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


  • 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