Ziv Goldfeld


Ziv Goldfeld
Assistant Professor
School of Electrical & Computer Engineering
Cornell University

I am an assistant professor in the School of Electrical and Computer Engineering at Cornell University. I was a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) at MIT hosted by Yury Polyanskiy. Before that, I received my B.Sc., M.Sc. (both summa cum laude) and Ph.D. in the Department of Electrical and Computer Engineering at Ben Gurion University of the Negev, under the supervision of Haim Permuter.

Research Interests

My research focuses broadly on optimal transport theory, statistical machine learning, information theory, statistics and applied probability. Specific interests include:

  • Optimal transport: theory and applications to generative modeling (link to a colloquium I gave about smooth Wasserstein distance and generative adversarial networks (GANs))

  • Statistical machine learning and deep learning theory (link to a seminar I gave about information flows in DNNs and a shorter version presented at ICML-2019 (Start: 34th min))

  • Information theory

  • Statistical mechanics and interacting particle systems

  • High dimensional and nonparametric statistics

  • Physical layer security and relations to advesarial machine learning (video of a lecture on information-theoretic security I gave at Stanford's EE 25N Science of Information course; and a podcast by the students)

Contact Information:

Office: Frank H. T. Rhodes Hall, Room 322
Telephone: (607) 255-4527
Email: goldfeld {at} cornell.edu
Web page: http://people.ece.cornell.edu/zivg/

Due to the large volume of emails that I receive, I generally do not respond to unsolicited inquiries about student or postdoc openings, or research advice. Nevertheless, if you have a strong quantitative background and think your interests are compatible with mine, please feel free to contact me.