Kurt Thomas, Juan Antonio Elices Crespo, Ryan Rasti, Jean-Michel Picod, Cait Phillips, Marc-André (MAD) Decoste, Chris Sharp, Fabio Tirelo, Ali Tofigh, Marc-Antoine Courteau, Lucas Ballard, Robert Shield, Nav Jagpal, Moheeb Abu Rajab, Panos Mavrommatis, Niels Provos, Elie Bursztein, Damon McCoy
Proceedings of the USENIX Security Symposium (2016)
Workshop on Large-scale Deep Learning for Data Mining - KDD (2016) (to appear)
Ohad Fried, Eli Shechtman, Dan B Goldman, Adam Finkelstein
ACM Transactions on Graphics (Proc. SIGGRAPH) (2016) (to appear)
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Google is a fantastic place to do research. The ability to work on really interesting problems, with excellent colleagues (whose expertise is often very complementary to your own), and to have your research impact billions of users every day is incredibly exciting.
I'm at Google because that's where the data is, and the means to use it. This makes it possible to do great work at scale. In the end, the reason for doing the work is to create something useful that helps people, and Google makes it easy for researchers to roll out products that will help hundreds of millions of people.
The raw computation power available at Google is just incredible - we can do research on a scale that was unimaginable to me in academia, and work on problems that no one else is even thinking of.