The Center for Cybersecurity is dedicated to developing the capacity for keeping data secure and private throughout its lifetime, a core focus of Columbia University's Data Science Institute. The Center will bring together and build upon the research of the departments of Computer Science and Electrical Engineering, and the work of the Columbia Business School, among others. By way of example, in the past year, Columbia start-ups such as CellRox have been launched based on technology related to digital security. The Center will be housed on the Morningside Campus.


Simha Sethumadhavan, Associate Professor of Computer Science (Chair)
Matthew C. Waxman, Liviu Librescu Professor of Law (Co-Chair)
Steven M. Bellovin, Professor of Computer Science
Roxana Geambasu, Associate Professor of Computer Science
Jason Healey, Senior Research Scholar, School for International and Public Affairs
Suman Jana, Assistant Professor of Computer Science
Clarisa Long, Max Mendel Shaye Professor of Intellectual Property Law
Susan McGregor, Assistant Professor of Journalism
Shivaram Rajgopal, Roy Bernard Kester and T.W. Byrnes Professor of Accounting and Auditing
Daniel Richman, Paul J. Kellner Professor of Law
Soumitra Sengupta, Associate Professor of Biomedical Informatics
Sal Stolfo, Professor of Computer Science


Allison Bishop, Adjunct Associate Scientist, Computer Science
Yaniv Erlich, Associate Professor of Computer Science
Tal G. Malkin, Associate Professor of Computer Science
Eben Moglen, Professor of Law
Jason Nieh, Professor of Computer Science
Baishakhi Ray, Assistant Professor of Computer Science
Henning Schulzrinne, Julian Clarence Levi Professor of Mathematical Methods and Computer Science and Professor of Electrical Engineering
Eric Talley, Isidor and Seville Sulzbacher Professor of Law
Jeannette Wing, Avanessians Director of the Data Science Institute and Professor of Computer Science
Junfeng Yang, Associate Professor of Computer Science


      1. CleanOS is a new mobile operating system designed to manage sensitive data rigorously and maintain a clean environment at any point in time.

      1. This project will provide energy-efficient primitives that will make security cheap and effective on a wide variety of computing platforms, such as ubiquitous mobile phones or high-value installations in military and financial sectors

      1. Discovering patterns in audit logs that capture user access to sensitive data which help identify whether specific access are anomalous, and hence subject to further audit, or not.



  • Simcity Cloud: 48 x (8-core processors, 24 GB RAM) + 30 TB, Fibre Channel
  • Simlab Cluster: 8 x (8-core processors, 24 GB RAM, 1 TB RAID)
  • CLIClab Cluster: 36 x (8-core processors, 24 GB RAM, 1 TB RAID)
  • Synopsys toolchain, architecture simulators, etc.


  • AT&T Labs Research
  • New York-Presbyterian Hospital
  • Defense Advanced Research Projects Agency (DARPA)
  • National Science Foundation (NSF)
  • Alfred P. Sloan Foundation

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