Reza Zadeh
Reza Zadeh 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 board of Microsoft and Databricks.[3] His work focuses on machine learning, distributed computing, and discrete applied mathematics.[4][5][6]
Reza Zadeh | |
---|---|
Nationality | USA, Canada, Iran |
Citizenship | USA, Canada, Iran |
Alma mater | Stanford University (Ph.D.) Carnegie Mellon University (M.Sc.) University of Waterloo (B.S.) |
Known for | Machine Learning Recommender Systems |
Scientific career | |
Fields | Computer Science |
Institutions | Stanford University |
Thesis | Large Scale Graph Completion |
Doctoral advisor | Gunnar Carlsson |
Website | stanford |
As part of his research, he created the machine learning algorithm behind Twitter's Who-To-Follow project [7] and subsequently released it to open source.[8] During that time he also led research tracking earthquake damage via machine learning, gaining wide media attention.[9][10][11]
Reza helped create the MLlib library[12] and Linear Algebra Package[13] in Apache Spark. Through open source, Reza's work has been incorporated into industrial and academic cluster computing environments.[14]
In Industry, to evaluate new ventures formed at the University of Toronto, Reza serves as a Chief Scientist of Machine Learning[15] at the Rotman School of Management.[16] His awards include a KDD Best Paper Award[17] and the Gene Golub Outstanding Thesis Award.
References
- "Institute for Computational and Mathematical Engineering Faculty". Stanford University. Archived from the original on May 14, 2016. Retrieved 14 May 2016.CS1 maint: unfit url (link)
- Martin, Scott (2017-03-27). "A Life's Ambition, Matroid Launches". Wall Street Journal. ISSN 0099-9660. Retrieved 2017-04-14.
- "University of Toronto - Creative Destruction Lab". University of Toronto - Creative Destruction Lab. Retrieved 2016-06-15.
- Beyer, David (3 May 2015). "On the evolution of machine learning". O'Reilly Media.
- Simonite, Tom. "AI Supercomputer Built by Tapping Data Warehouses for Their Idle Computing Power". MIT Technology Review.
- Beyer, David (February 2016). The Future of Machine Intelligence: Perspectives from Leading Practitioners (PDF). O'Reilly Media.
- Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh WTF:The who-to-follow system at Twitter, Proceedings of the 22nd international conference on World Wide Web
- Harris, Derrick. "Gigaom | Twitter open sourced a recommendation algorithm for massive datasets".
- Shu, Catherine. "Tweets Can Guide Emergency Responders Almost Immediately After An Earthquake". TechCrunch. Retrieved 2016-06-15.
- Wagner, Kurt. "Can Studying Tweets Lead to Faster Earthquake Recovery?". Mashable. Retrieved 2016-06-15.
- "Stanford turns to Twitter to track earthquakes". Engadget. Retrieved 2016-06-15.
- Meng, Xiangrui; Bradley, Joseph; Yavuz, Burak; Sparks, Evan; Venkataraman, Shivaram; Liu, Davies; Freeman, Jeremy; Tsai, D. B.; Zadeh, Reza (2015-05-26). "MLlib: Machine Learning in Apache Spark". arXiv:1505.06807. Bibcode:2015arXiv150506807M. Cite journal requires
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(help) - Organisers, KDD 2015. "Matrix Computations and Optimization in Apache Spark". www.kdd.org. Retrieved 2016-06-15.
- "Machine Learning using Big Data: How Apache Spark Can Help | Biomedical Computation Review". biomedicalcomputationreview.org. Retrieved 2016-06-22.
- "Pre-seed start-up program | Creative destruction Lab (CDL) | Toronto". Pre-seed start-up program | Creative destruction Lab (CDL) | Toronto. Retrieved 2016-06-15.
- jackclarkSF, Jack Clark. "Google Sprints Ahead in AI Building Blocks, Leaving Rivals Wary". Bloomberg.com. Retrieved 2016-07-30.
- "SIGKDD Awards : 2016 SIGKDD Best Paper Award Winners". www.kdd.org. Retrieved 2016-07-29.
External links
- Chinese translation of his PhD Dissertation by Xu Wenhao, November 2012
- Website at Stanford