Summary
Lan Li is an Applied Scientist based in Seattle with eight years of experience at the intersection of data management, provenance, and natural language processing. Currently focused on leveraging pre-trained language models to automate data cleaning and solve entity matching challenges, she blends rigorous research from her PhD in Information Science with practical backend engineering in Python and Java. Her background includes research internships at Microsoft and teaching experience at UIUC, reflecting both applied innovation and an ability to communicate complex concepts. Lan’s skill set spans data modeling, warehousing, and full-stack implementation, enabling end-to-end solutions from databases to front-end integration. She brings an academic depth to production problems, often translating novel NLP approaches into scalable data-quality tooling.
8 years of coding experience
University of Illinois Urbana-Champaign
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at South China University of Technology
Master of Information management, Data Modeling/Warehousing and Database Administration, 3.96/4.0, Master of Information management, Data Modeling/Warehousing and Database Administration, 3.96/4.0 at 美国伊利诺伊大学香槟分校