Firas Abuzaid
Photo credits: Hector Garcia-Molina

Howdy! I’m Firas Abuzaid; thanks for visiting my website. I’m a 2nd-year Ph.D. student in Computer Science at Stanford University, co-advised by Matei Zaharia and Peter Bailis.

As a member of the FutureData Systems Group and the Stanford Infolab, I focus on the intersection of systems and machine learning: how to take high-level artificial intelligence or machine learning tasks and build software systems to improve the efficiency of these tasks without sacrificing their accuracy.

I spent the first year of my Ph.D. at MIT CSAIL, working under Matei Zaharia and Sam Madden as part of the MIT DB group.

Prior to MIT, I was at Stanford—yes, really!—where I completed my B.S. and M.S. in Computer Science. I worked with Chris Ré on database systems and machine learning systems.

You can check out my CV here.

Latest Work


100x speedups for CNN evaluation on video streams.

D. Kang, J. Emmons, F. Abuzaid, P. Bailis, and M. Zaharia.. NoScope: Optimizing Neural Network Queries over Video at Scale, VLDB 2017.

[Code] [Blog]


A project on training deep decision trees at scale. Compatible with Spark MLlib 1.6+.

F. Abuzaid, J. Bradley, F. Liang, A. Feng, L. Yang, M. Zaharia, and A. Talwalkar. Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale, NIPS 2016.

[Code] [Spark Package] [Slides from ML Systems Workshop, NIPS 2016] [Talk from Spark Summit 2016]

Contact Me

Feel free to shoot me an email at; you can also hit me up on Twitter. Or, if you're on campus, stop by my office in Gates 432!