Wang-Chiew Tan
Wang-Chiew Tan is a computer scientist whose work spans data provenance, data integration and language-model question answering. She earned a first-class computer science degree at the National University of Singapore and a Ph.D. at the University of Pennsylvania, then joined UC Santa Cruz in 2002, researched at IBM Almaden from 2010 to 2012, and led research at Megagon Labs on search by experience. Her career includes an ACM Fellowship in 2015 and the 2019 VLDB Women in Database Research Award; at Meta, she held AI research scientist and manager roles from 2021 to 2025 and coauthored 2023 work on querying unstructured and structured data with LLMs. She is a principal engineer at Google; in 2026 she coauthored RPTune, a framework for LLM catalog search.
Timeline
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2002
A Penn PhD and provenance thesis
She earns a first-class B.Sc. in computer science from the National University of Singapore and a Ph.D. in computer science from the University of Pennsylvania. Her 2002 dissertation is titled Data Annotations, Provenance, and Archiving.
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2002
Professor at UC Santa Cruz
She joins UC Santa Cruz's computer science faculty as a professor in 2002.
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2010–2012
Researcher at IBM Almaden
From 2010 to 2012, she takes leave from UC Santa Cruz to work as a researcher at IBM Research - Almaden.
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2015
An ACM Fellowship
She becomes an ACM Fellow in 2015 for contributions to data provenance and the foundations of information integration.
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July 2016–February 2021
Research at Megagon Labs
At Megagon Labs, she leads research to improve search by experience through data integration, information extraction, text mining and summarization. Her roles there span July 2016 to February 2021.
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2019
A VLDB research award
She receives the VLDB Women in Database Research Award in 2019.
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February 2021–April 2025
Meta AI and LLM query research
From February 2021 to April 2025, she holds AI Research Scientist and manager roles at Meta. In December 2023, she is an AI Research Scientist at Meta Reality Labs Research. In 2023, she coauthors an opinion paper on using LLMs to query unstructured and structured data.
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Since October 2025
Principal engineer at Google
In October 2025, she becomes a Principal Engineer at Google. In 2026, she coauthors RPTune, a framework that combines learned catalog curation and LLM post-training for catalog search.
Career
- Since 2025GooglePrincipal Engineer
- 2021–2025MetaAI Research Scientist and manager, AI Research Scientist
- 2016–2021Megagon Labs
- 2010–2012IBMResearcher
- From 2002University of California, Santa CruzProfessor
Education
- 2002University of PennsylvaniaPh.D. in computer science
- National University of SingaporeB.Sc. in computer science
Sources and credits
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