Ziv Goldfeld

Nepal 

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


I am an assistant professor in the School of Electrical and Computer Engineering, and a graduate field member in Computer Science, Data Science, and the Center of Applied Mathematics at Cornell University. I am also a member of the Foundations of Information, Networks, and Decision Systems (FIND) group. 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.

My research is supported by the NSF CAREER Award, the NSF CRII Award, and the IBM 2020 University Award.

Graduate Students and Postdocs

Ph.D. Students: Sloan Nietert, Theshani Nuradha, Gabriel Rioux, and Zhengxin Zhang.

Postdocs: Sreejith Sreekumar.

Research Interests

My research focuses broadly on optimal transport, information theory, mathematical statistics, and statistical learning theory. More specific interests include:

  • Statistical divergences and optimal transport theory: fundamentals and applications to inference and learning (here's a link to a seminar about our new smooth optimal transport framework)

  • Information theory (here's a link to a seminar I gave about information flows in deep neural nets and a shorter version presented at ICML-2019 (Start: 34th min))

  • Privacy and security (here's a 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)

  • High-dimensional and nonparametric statistics

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 typically cannot 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 aligned with mine, please feel free to contact me.