Sep 9–12, 2019

Hui Wang
Data Scientist, Intuit

Hui Wang is a staff data scientist at Intuit. Previously, he conducted fundamental natural language processing (NLP) research with grants from the National Institute of Standards and Technology (NIST) and the CIA and provided data modeling for investment banks and hedge funds. Hui has a PhD in chemical engineering from Yale.

Sessions

11:55am–12:35pm Wednesday, September 11, 2019

Location: LL21 C/D

Document understanding: Extracting structured information from financial images and forms

Models and Methods

Secondary topics: Computer Vision, Data, Data Networks, Data Quality, Machine Learning, Text, Language, and Speech

Joy Rimchala (Intuit), TJ Torres (Intuit), Xiao Xiao (Intuit), Hui Wang (Intuit)

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Document understanding is a company-wide initiative at Intuit that aims to make data preparation and entry obsolete through the application of computer vision and machine learning. A team of data scientists, Joy Rimchala, TJ Torres, Xiao Xiao, and Hui Wang, detail the design and modeling methodologies used to build this platform as a service. Read more.