Reza Zadeh

Adjunct Professor at Stanford
Founder & CEO at Matroid

At Stanford I am within ICME, conducting research and teaching courses targeting doctorate students. I focus on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. I have served on the Technical Advisory Board of Microsoft and Databricks.

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


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

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

Won Best Paper Award runner-up at KDD 2016

Leading in Princeton ModelNet Competition with FusionNet

Built the Matroid Scaled Machine Learning Conference

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

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

Invited Panel on The Future of Deep Learning

Selected Publications

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

Phone: (650) 898-3193

Email: my domain is and my username is rezab

Stanord University