Reza Zadeh | |
---|---|
Nationality | American, Canadian, Iranian |
Citizenship | Iranian, Canadian, American |
Alma mater |
Stanford University (Ph.D.) Carnegie Mellon University (M.Sc.) University of Waterloo (B.S.) |
Known for |
Machine Learning Recommender Systems Computer Vision |
Scientific career | |
Fields | Computer Science |
Institutions | Stanford University |
Thesis | Large Scale Graph Completion |
Doctoral advisor | Gunnar Carlsson |
Website |
stanford |
Reza Zadeh ( Persian: رضا زاده) is an American-Canadian-Iranian computer scientist and technology executive working on machine learning. He is adjunct professor at Stanford University and CEO of Matroid. [1] [2] He has served on the technical advisory boards of Databricks and Microsoft. [3] His work focuses on machine learning, distributed computing, and discrete applied mathematics. [4] [5] [6]
In Industry, to evaluate new ventures formed at the University of Toronto, Reza serves as a chief scientist of Machine Learning [7] at the Rotman School of Management. [8] His awards include a KDD Best Paper Award [9] and the Gene Golub Outstanding Thesis Award at Stanford.
The Princeton University ModelNet challenge is an object recognition competition to classify 3D Computer-aided design models into object categories. In 2016, Matroid was a leader in this competition and the relevant neural networks were integrated into the Matroid product. [10]
In a collaboration with his own doctor at Stanford hospital, Reza's research team created a neural network to automatically detect Glaucoma in 3D optical coherence tomography images of the eyeball. The net surpassed human doctor performance and is providing diagnostic hints at the hospital. [11]
In 2016, Reza founded Matroid, inc to commercialize computer vision research by building a product for industries such as manufacturing and industrial sensors. Matroid raised $13.5 million from New Enterprise Associates, Intel, and others.
Reza is a coauthor of Apache Spark, in particular its Machine Learning library, MLlib. [12] [13] Through open source, Reza's work has been incorporated into industrial and academic cluster computing environments. [14] He was an early technical advisor and employee at Databricks, the company commercializing Spark.
Reza created the machine learning algorithm behind Twitter's Who-To-Follow project [15] and subsequently released it to open source. [16] During that time he also led research tracking earthquake damage via machine learning, gaining wide media attention as an example of real-time social information flow. [17] [18] [19]
Reza was born during the Iran–Iraq War in the under-siege city of Ahvaz. From there, his family emigrated to London, England where Reza grew up until age 17, after which he emigrated to Toronto, Canada, obtaining a degree from University of Waterloo. He frequently visited the US at age 18 to work on the Google Research team, and later moved to the US for a master's degree at Carnegie Mellon University and PhD at Stanford, all in Computer Science and Mathematics.
He holds three citizenships: Canadian, American, and Iranian. During confusion surrounding the 2017 travel ban, his pro-immigration stance stood as voice of protest to the Trump Administration's Anti-Immigration policies. [20]
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Reza Zadeh | |
---|---|
Nationality | American, Canadian, Iranian |
Citizenship | Iranian, Canadian, American |
Alma mater |
Stanford University (Ph.D.) Carnegie Mellon University (M.Sc.) University of Waterloo (B.S.) |
Known for |
Machine Learning Recommender Systems Computer Vision |
Scientific career | |
Fields | Computer Science |
Institutions | Stanford University |
Thesis | Large Scale Graph Completion |
Doctoral advisor | Gunnar Carlsson |
Website |
stanford |
Reza Zadeh ( Persian: رضا زاده) is an American-Canadian-Iranian computer scientist and technology executive working on machine learning. He is adjunct professor at Stanford University and CEO of Matroid. [1] [2] He has served on the technical advisory boards of Databricks and Microsoft. [3] His work focuses on machine learning, distributed computing, and discrete applied mathematics. [4] [5] [6]
In Industry, to evaluate new ventures formed at the University of Toronto, Reza serves as a chief scientist of Machine Learning [7] at the Rotman School of Management. [8] His awards include a KDD Best Paper Award [9] and the Gene Golub Outstanding Thesis Award at Stanford.
The Princeton University ModelNet challenge is an object recognition competition to classify 3D Computer-aided design models into object categories. In 2016, Matroid was a leader in this competition and the relevant neural networks were integrated into the Matroid product. [10]
In a collaboration with his own doctor at Stanford hospital, Reza's research team created a neural network to automatically detect Glaucoma in 3D optical coherence tomography images of the eyeball. The net surpassed human doctor performance and is providing diagnostic hints at the hospital. [11]
In 2016, Reza founded Matroid, inc to commercialize computer vision research by building a product for industries such as manufacturing and industrial sensors. Matroid raised $13.5 million from New Enterprise Associates, Intel, and others.
Reza is a coauthor of Apache Spark, in particular its Machine Learning library, MLlib. [12] [13] Through open source, Reza's work has been incorporated into industrial and academic cluster computing environments. [14] He was an early technical advisor and employee at Databricks, the company commercializing Spark.
Reza created the machine learning algorithm behind Twitter's Who-To-Follow project [15] and subsequently released it to open source. [16] During that time he also led research tracking earthquake damage via machine learning, gaining wide media attention as an example of real-time social information flow. [17] [18] [19]
Reza was born during the Iran–Iraq War in the under-siege city of Ahvaz. From there, his family emigrated to London, England where Reza grew up until age 17, after which he emigrated to Toronto, Canada, obtaining a degree from University of Waterloo. He frequently visited the US at age 18 to work on the Google Research team, and later moved to the US for a master's degree at Carnegie Mellon University and PhD at Stanford, all in Computer Science and Mathematics.
He holds three citizenships: Canadian, American, and Iranian. During confusion surrounding the 2017 travel ban, his pro-immigration stance stood as voice of protest to the Trump Administration's Anti-Immigration policies. [20]
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cite web}}
: CS1 maint: unfit URL (
link)
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cite journal}}
: Cite journal requires |journal=
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help)
{{
cite web}}
: CS1 maint: numeric names: authors list (
link)