Neha Patil (Editor)

Reza Zadeh

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Citizenship
  
Canada

Fields
  
Computer Science

Doctoral advisor
  
Gunnar Carlsson

Institution
  
Stanford University

Nationality
  
Canada

Institutions
  
Stanford University

Academic advisor
  
Gunnar Carlsson


Thesis
  
Large Scale Graph Completion

Alma maters
  
Stanford University (Ph.D.), Carnegie Mellon University (M.Sc.), University of Waterloo (B.S.)

Known for
  
Machine learning, Recommender system

Profiles

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 project and 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.

References

Reza Zadeh Wikipedia