Reza Zadeh

Reza Zadeh is a Canadian Computer Scientist working on Machine Learning. He is faculty at Stanford University and serves on the technical advisory board of Microsoft and Databricks. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics.
As part of his research, he created the machine learning algorithm behind Twitter's Who-To-Follow projectand subsequently released it to Open Source. During that time he also led research tracking earthquake damage via Machine Learning, gaining wide media attention.
Reza helped create the MLlib library and Linear Algebra Package in Apache Spark. Through Open Source, Reza's work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhD-level classes at Stanford: Distributed Algorithms and Optimization (CME 323) and Discrete Mathematics and Algorithms (CME 305).
In Industry, to evaluate new ventures formed at the University of Toronto, Reza serves as a Chief Scientist of Machine Learning at the Rotman School of Management, and is CEO of Matroid. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award.