Justine Sherry
Assistant Professor, Computer Science Department
Courtesy Appointment, Electrical and Computer Engineering
Justine Sherry is an assistant professor at Carnegie Mellon University. Her interests are in computer networking. Her work includes middleboxes, networked systems, measurement, cloud computing, and congestion control. Her recent research focuses on new opportunities and challenges arising from the deployment of middleboxes—such as firewalls and proxies—as services offered by clouds and ISPs.
Sherry received her Ph.D. (2016) and MS (2012) from UC Berkeley, and her BS and BA (2010) from the University of Washington. She is a recipient of the SIGCOMM doctoral dissertation award, the David J. Sakrison prize, paper awards at USENIX NSDI and ACM SIGCOMM, and an NSF Graduate Research Fellowship. Most importantly, she is always on the lookout for a great cappuccino.
Education
2016 Ph.D. Computer Science, UC Berkeley
2012 MS Computer Science, UC Berkeley
2010 BS Computer Science & BA International Studies, University of Washington
Affiliations
Media mentions
CyLab Security and Privacy Institute
Prudentia project explores how Internet applications perform when sharing the same connection
The Prudentia project, a new study from researchers inn CyLab and Carnegie Mellon University’s Computer Science Department, explores how popular Internet services – from Netflix to Google Drive – perform when sharing the same Internet connection.
CyLab Security and Privacy Institute
Second round of Future Enterprise Security Initiative funded projects announced
CyLab’s Future Enterprise Security Initiative has announced its second round of funded proposals.
CyLab Security and Privacy Institute
Measuring Internet resilience in Ukraine
Akshath Jain, Deepayan Patra, and Mike Xu, master’s students in the Department of Computer Science, examine Internet performance during the first 54 days of the war in Ukraine.
CyLab Security and Privacy Institute
Eliminating algorithmic complexity attacks
Nirav Atre, a Ph.D. student in CMU's Computer Science Department and member of the CyLab Institute for Security and Privacy, has developed an algorithm guaranteed to protect network systems against algorithmic complexity attacks.
CMU Engineering
Crossroads for data
The Intel/VMware Crossroads 3D-FPGA Academic Research Center has been formed to determine the role of FPGAs in extending the performance and efficiency of future datacenters
CyLab Security and Privacy Institute
CyLab faculty named Intel’s 2021 Outstanding Researchers
CyLab faculty Justine Sherry, Vyas Sekar, and James Hoe have been selected among the winners of Intel’s 2021 Outstanding Researcher Award.
Popular Science
Sherry quoted on cloud computing security
CyLab’s Justine Sherry was quoted in Popular Science on cloud computing security for servers and networks facing AWS outages.
Popular Science
Sherry quoted on Facebook outage
CyLab’s Justine Sherry was quoted in Popular Science about last week’s Facebook, Instagram, and WhatsApp outage.
CyLab Security and Privacy Institute
Protect your security and privacy with these tips from CyLab faculty
In celebration of Cybersecurity Awareness Month, a collection of CyLab faculty have shared some tips they recommend following to stay safe online.
The New York Times
Sherry interviewed about internet durability during the pandemic
CyLab’s Justine Sherry spoke to The New York Times about the internet’s durability during the pandemic. Despite fears of the system failing, the hard work of many helped us all get online when we needed it most.
CyLab Security and Privacy Institute
Justine Sherry wins 2020 VMWare Systems Research Award
CyLab’s Justine Sherry is the winner of the 2020 VMWare Systems Research Award, in recognition of her seminal contributions to the field of networking.
CyLab Security and Privacy Institute
World’s fastest open-source intrusion detection is here
Researchers in Carnegie Mellon University’s CyLab have developed the fastest-ever open-source intrusion detection system—one that achieves speeds of 100 gigabits per second using a single server.