About me

I am currently an assistant professor in computer science at UC Santa Barbara. At UCSB, I co-direct the Systems and Networking Lab (SNL). I received my Ph.D. in computer science from Princeton University.

As a systems researcher, I design and build flexible, scalable, and trustworthy systems that solve the real-world problems at the intersection of networking, security, and machine learning. Specifically, I am interested in developing self-driving networks that use programmable data planes and machine learning to provide highly available, reliable, performant and secure network connectivity at lower costs to under-served communities.

I work with different industry partners, such as Microsoft Research, Tencent, Verizon, ViaSat, ATT, Intel, Ookla, etc., on problems related to development and deployment of ML-based artifacts for networking.

Please find more details about my current research here.

Prospective Students

If you are interested in learning how to develop and deploy production-ready ML-based solutions for networking, come work with us.

πŸ†• I am actively looking for Ph.D. students and post-docs for my group.

I also actively work with undergraduate students at UCSB through different programs (DIMAP, ERSP, etc.). I mentor students outside UCSB on their undergraduate thesis projects and regularly host visiting students.

Please don’t hesitate to contact me if you have any questions.

Selected Publications


  • IETF/IRTF Applied Networking Prize (ANRP), IETF/IRTF, 2023.
  • Best Paper Honorable Mention, ACM CCS, 2022.
  • Best Paper Award, ACM SIGCOMM IMC, 2022
  • Honorable Mention, SIGCOMM Dissertation Award, 2018
  • Best Paper Award, ACM SOSR, 2017
  • USENIX Best of the Rest Paper Award for Best Paper in all USENIX Conferences, 2016
  • USENIX Community Contribution Award, USENIX NSDI, 2016
  • Internet-2 Innovation Award, 2013