Firas Abuzaid, PhD Student at MIT

Firas Abuzaid

PhD Student, MIT

Firas is a first-year PhD student at MIT, working with Matei Zaharia and Samuel Madden on problems related to large-scale, distributed machine learning. Previously, as a Master’s student at Stanford, he worked with Christopher Ré on the Caffe Con Troll project, an optimizer for neural networks that was featured at the DanaC Workshop at SIGMOD/PODS 2015.


Yggdrasil: Faster Decision Trees Using Column Partitioning In Spark

Decision Trees, Gradient-Boosted Trees, and Random Forests are among the most commonly used learning methods in Spark MLlib. As datasets grow, there is a pressing need to model high-dimensional data and use highly expressive (i.e.,… Read more