Wang-Chiew Tan | |
|---|---|
| Nationality | Singaporean |
| Alma mater | University of Pennsylvania |
| Known for | data lineage anddata integration |
| Awards | ACM Fellow |
| Scientific career | |
| Fields | Computer Science |
| Institutions | Megagon Labs |
| Doctoral advisor | Peter Buneman andSanjeev Khanna |
| Website | wangchiew |
Wang-Chiew Tan is a Singaporeancomputer scientist specializing indata management andnatural language processing. Her work in data management includes dataprovenance (ordata lineage) anddata integration. She is currently a Research Scientist atFacebook AI,[1] and was previously the Director of Research at Megagon Labs inMountain View, California.[2]
At Megagon Labs, Tan was the lead researcher on a study with theUniversity of Tokyo that concluded that the company of other people is more effective than pets at making people happy.[3]
Tan earned her bachelor's degree in computer science (first-class) at theNational University of Singapore, and completed her Ph.D. at theUniversity of Pennsylvania.[2]Her 2002 dissertation,Data Annotations, Provenance, and Archiving, was jointly supervised byPeter Buneman andSanjeev Khanna.[4][5]
Before working at Megagon, she has been a professor of computer science at theUniversity of California, Santa Cruz beginning in 2002,[6] and, from 2010 to 2012, was on leave from Santa Cruz as a researcher atIBM Research - Almaden.[2]
Tan was named aFellow of the Association for Computing Machinery in 2015 "for contributions to data provenance and to the foundations of information integration".[7]
