Lucy Lu Wang

Allen Library 199D

University of Washington

Seattle, WA 98105

I am an Assistant Professor at the University of Washington Information School. I hold Adjunct appointments in Computer Science & Engineering, Biomedical Informatics & Medical Education, and Human-Centered Design & Engineering. I am also a Visiting Research Scientist at the Allen Institute for AI (AI2). My research asks whether AI and natural language processing techniques can make sense of scientific output and help people make better health-related decisions.

Previously, I was a postdoc at AI2 on the Semantic Scholar research team. I completed my PhD in the Department of Biomedical Informatics and Medical Education (BIME) at the University of Washington.

My CV: pdf

news

Apr 5, 2024	Gave a talk at the American Society of Pediatric Hematology/Oncology’s Informatics SIG meeting.
Mar 31, 2024	“NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs” accepted to FAccT!
Mar 26, 2024	Accepted to NAACL! “Personalized Jargon Identification for Enhanced Interdisciplinary Communication” led by Yue Guo will be presented at the main conference. “TOPICAL: TOPIC Pages AutomagicaLly” led by John Giorgi is accepted to the NAACL System Demonstration track. Try TOPICAL, our automated biomedical topic page generator here.
Feb 12, 2024	“From Paper to Card: Transforming Design Implications with Generative AI” led by Donghoon Shin has been accepted to CHI 2024; please try the demo and give us feedback!
Feb 9, 2024	Our paper “FigurA11y: AI Assistance for Writing Scientific Alt Text” led by Nikhil Singh has been accepted and will be presented at ACM IUI 2024!

select recent publications

TOPICAL: TOPIC Pages AutomagicaLly

John Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, and Lucy Lu Wang

NAACL System Demonstrations Jun 2024

Website PDF Bib

@article{giorgi2024topical,
  title = {{TOPICAL}: {TOPIC} Pages {AutomagicaLly}},
  author = {Giorgi, John and Singh, Amanpreet and Downey, Doug and Feldman, Sergey and Wang, Lucy Lu},
  year = {2024},
  month = jun,
  journal = {NAACL System Demonstrations},
}

Personalized Jargon Identification for Enhanced Interdisciplinary Communication

Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, and Tal August

NAACL Jun 2024

arXiv PDF Bib

@article{guo2023personalized,
  title = {Personalized Jargon Identification for Enhanced Interdisciplinary Communication},
  author = {Guo, Yue and Chang, Joseph Chee and Antoniak, Maria and Bransom, Erin and Cohen, Trevor and Wang, Lucy Lu and August, Tal},
  year = {2024},
  month = jun,
  journal = {NAACL},
}

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs

Maria Antoniak, Aakanksha Naik, Carla Alvarado, Lucy Lu Wang, and Irene Chen

FAccT Jun 2024

arXiv PDF Bib

@article{antoniak2024maternalnlp,
  title = {NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs},
  author = {Antoniak, Maria and Naik, Aakanksha and Alvarado, Carla and Wang, Lucy Lu and Chen, Irene},
  year = {2024},
  month = jun,
  journal = {FAccT},
}

From Paper to Card: Transforming Design Implications with Generative AI

Donghoon Shin, Lucy Lu Wang, and Gary Hsieh

CHI May 2024

Website PDF Bib

@article{shin2024designcard,
  title = {From Paper to Card: Transforming Design Implications with Generative AI},
  author = {Shin, Donghoon and Wang, Lucy Lu and Hsieh, Gary},
  year = {2024},
  month = may,
  journal = {CHI},
}

FigurA11y: AI Assistance for Writing Scientific Alt Text

Nikhil Singh, Lucy Lu Wang, and Jonathan Bragg

IUI Mar 2024

Website PDF Bib

@article{singh2024figura11y,
  title = {FigurA11y: AI Assistance for Writing Scientific Alt Text},
  author = {Singh, Nikhil and Wang, Lucy Lu and Bragg, Jonathan},
  year = {2024},
  month = mar,
  journal = {IUI},
}