Reza Zadeh

Consulting Professor at Stanford University
Technical Advisor at Databricks

I am a consulting professor at Stanford within ICME, conducting research and teaching courses targeting doctorate students. I focus on Machine Learning, Distributed Computing, and Discrete Applied Mathematics.

Publications | Teaching | Talks | Press | Conferences | Bio


Created CME 323: Distributed Algorithms and Optimization

Organized the Workshop on Distributed Machine Learning and Matrix Computations at NIPS 2014

Gave the Keynote at Bay Area ACM

O'Reilly published my interview on the evolution of machine learning

Quoted in GigaOm and MIT Technology Review

Our paper on earthquakes was covered by TechCrunch, Mashable, and many others

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

Selected Publications

On the Evolution of Machine Learning: from Linear Models to Neural Networks [full pdf] [oreilly report], O'Reilly 2015

MLlib: Machine Learning in Apache Spark [arxiv pdf]

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

Dimension Independent Similarity Computation [pdf] [extension] [slides] [poster] [scalding] [spark] [press], JMLR 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