Bio:
Haixun Wang is an ACM Fellow, IEEE Fellow, Editor-in-Chief of the IEEE Data Engineering Bulletin, a trustee of VLDB, and an Affiliate Professor at the University of Washington. He is currently VP of Engineering and Head of AI at EvenUp, where he leads efforts to apply large language and vision–language models (LLMs and VLMs) to legal and medical documents—building CoPilot-style tools for lawyers and advancing demand generation and litigation processes. Previously, Dr. Wang held senior leadership roles in AI, applied science, NLP, and knowledge bases at Instacart, WeWork, Amazon, and Meta, and earlier conducted research at Microsoft, Google, and IBM. He has authored more than 200 publications in top journals and conferences, with work recognized through multiple prestigious awards, including the ICDE 10-Year Influential Paper Award (2024), the ICDE Best Paper Award (2015), the ICDM 10-Year Best Paper Award (2013), and the ER Best Paper Award (2009).
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Trustworthy Document AI: From Good Enough to Mission-Critical
Generative AI can now tackle what once seemed impossible: parsing dense contracts, deciphering physician notes, and interpreting photographed invoices with surprising fluency. Yet in domains like...
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