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Okke Schrijvers
Manager, Central Applied Science, Meta | Stanford PhD’17
Okke Schrijvers is a Research Scientist Manager at Meta, specifically within the Central Applied Science group. He has been in this managerial role since March 2022, where he leads the Experimentation Science and Algorithms team. His work focuses on developing advanced causal inference methods and market algorithms, particularly in the context of online advertising and auction systems.
Education and Career Background
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PhD in Computer Science: Schrijvers earned his PhD from Stanford University in 2017, where he was advised by Tim Roughgarden. His doctoral research included significant contributions to understanding incentives in ad auction systems, with publications in notable conferences such as TheWebConf.
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Previous Roles: Before his current position, he served as a Research Scientist at Meta (formerly Facebook) from July 2017 to March 2022. His earlier experience includes a research assistantship at Stanford and various programming roles in the gaming industry, including work on the PlayStation 3 game EyePet.
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Academic Contributions: Schrijvers has published multiple papers in the fields of algorithmic game theory and machine learning, and he has served as co-Editor in Chief of the ACM's student publication, XRDS.
Skills and Languages
Okke Schrijvers is proficient in several languages, including Dutch (native), English (bilingual), and elementary Spanish. His technical expertise spans areas such as algorithms, machine learning, and causal inference, making him a prominent figure in his field.12