Reza Zadeh

Founder & CEO at Matroid
Adjunct Professor at Stanford

At Stanford, I focus on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. I am CEO of Matroid and previously served on the Technical Advisory Boards of Microsoft and Databricks.

Press | Publications | Teaching | Students | Talks | Conferences | Bio


Created CME 323: Distributed Algorithms and Optimization [2015] [2016] [2017] [2018]

Teaching CME 305: Discrete Mathematics and Algorithms [2014] [2015] [2016] [2017]

Won Best Paper Award runner-up at KDD 2016

Built the Scaled Machine Learning Conference

News in Bloomberg, Wall Street Journal, MIT Technology Review, TechCrunch, and many others

Interview: On the Evolution of Machine Learning, from Linear Models to Neural Networks [oreilly report]

Book: TensorFlow for Deep Learning, From Linear Regression to Reinforcement Learning

Profile: The Wall Street Journal | See more press.

Selected Publications

FusionNet: 3D Object Classification Using Multiple Data Representations [pdf] [blog], NIPS 2016

Matrix Computations and Optimization in Apache Spark [pdf], KDD 2016

MLlib: Machine Learning in Apache Spark [arxiv], JMLR 2015

Dimension Independent Similarity Computation [pdf] [extension] [slides] [poster] [code] [press], JMLR 2014

Estimate of Shaking Intensity by Combining Earthquake Characteristics with Tweets [pdf] [slides] [video] [demo] [full], NCEE 2014

On the Precision of Social and Information Networks [pdf] [slides], COSN 2013

WTF: The Who to Follow Service at Twitter [pdf], WWW 2013

A Uniqueness Theorem for Clustering [pdf] [slides], UAI 2009

Contact info

Twitter: @Reza_Zadeh

Email: my domain is and my username is rezab

Stanord University