Wang-Chiew Tan

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Wang-Chiew Tan is a Singaporean computer scientist specializing in natural language processing and data management, including data lineage. She is Director of Research at Megagon Labs in Mountain View, California.[1]

At Megagon, Tan was the lead researcher on a study with the University of Tokyo that concluded that the company of other people is more effective than pets at making people happy.[2]

Education and career[edit]

Tan earned a bachelor's degree in computer science at the National University of Singapore, and completed her Ph.D. at the University of Pennsylvania.[1] Her 2002 dissertation, Data Annotations, Provenance, and Archiving, was jointly supervised by Peter Buneman and Sanjeev Khanna.[3][4]

Before working at Megagon, she has been a professor of computer science at the University of California, Santa Cruz beginning in 2003,[5] and, from 2010 to 2012, was on leave from Santa Cruz as a researcher at IBM Research - Almaden.[1]

Recognition[edit]

Tan was named a Fellow of the Association for Computing Machinery in 2015 "for contributions to data provenance and to the foundations of information integration".[6]

References[edit]

  1. ^ a b c Wang-Chiew Tan, Director of Research, Megagon Labs, retrieved 2018-10-16
  2. ^ Foley, Katherine Ellen (March 3, 2018), "Pets don't make humans immediately happy the way other people do", Quartz
  3. ^ "Data annotations, provenance, and archiving", ACM Digital Library, Association for Computing Machinery, retrieved 2018-10-16
  4. ^ Wang-Chiew Tan at the Mathematics Genealogy Project
  5. ^ "New Faculty", UC Santa Cruz Currents, January 20, 2003
  6. ^ "Wang-Chiew Tan Wang-Chiew", ACM Fellows, Association for Computing Machinery, retrieved 2018-10-16

External links[edit]