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 serve on the Technical Advisory Board of Microsoft and Databricks.

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

News

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

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

Won a Best Paper Award at KDD 2016

Leading in Princeton ModelNet Competition with FusionNet

Built the Stanford Scaled Machine Learning Conference

Quoted in 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

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 stanford.edu and my username is rezab



Stanord University