Faculty

CSE2 313
althoffcs.washington.edu
Data Science, Data Mining, Social Network Analysis, Natural Language Processing
CSE328
Adjunct, Linguistics

Computational linguistics (especially grammar engineering and NLP), syntax and study of variation.

EEB-418
bilmescs.washington.edu
Adjunct, Electrical & Computer Engineering

Machine learning, speech/language/bioinformatics/music, submodularity & discrete optimization

CSE 578
yejincs.washington.edu
Natural language processing
CSE 470
hannanehcs.washington.edu
Natural Language Processing, Artificial Intelligence, Machine Learning
ranjaycs.washington.edu
Arriving Fall 2022
Development of new representations, models, and training paradigms for machine learning and computer vision, drawing on insights from human-computer interaction, social, and behavioral sciences
nasmithcs.washington.edu
Natural language processing
CSE 566
yuliatscs.washington.edu
Natural language processing
swangcs.washington.edu
Computational biology — learning in the open-world setting, biomedical natural language processing, network biology

Postdocs

qicaocs.washington.edu

Qingqing Cao's research interests include efficient NLP, mobile computing, and machine learning systems. My current focus is building efficient and practical NLP systems for diverse platforms including resource-constrained edge devices and the cloud servers. Previously, I have worked on projects like faster Transformer models for question answering (ACL 2020), as well as accurate and interpretable energy estimation of NLP models (ACL 2021).

wwenyacs.washington.edu

Wenya is a research fellow in Paul G. Allen School of Computer Science and Engineering at the University of Washington, advised by Noah Smith and Hanna Hajishirzi. Her research interests lie in deep learning, logic reasoning and their applications in natural language processing, e.g., information extraction, natural language understanding etc.

welleckscs.washington.edu

Sean Welleck is a Postdoctoral Scholar at UW, working with Yejin Choi. His research interests include deep learning and structured prediction, with applications in natural language processing. He completed his Ph.D. at New York University, advised by Kyunghyun Cho and Zheng Zhang, and obtained B.S.E. and M.S.E. degrees from the University of Pennsylvania. His research has been published at ICML, NeurIPS, ICLR, and ACL, including two Nvidia AI Labs Pioneering Research Awards.

taoydscs.washington.edu

Tao Yu works with professor Noah Smith and Mari Ostendorf of the UW Natural Language Processing group. His research focuses on designing and building conversational natural language interfaces (NLIs) that can help humans explore and reason over data in any application (e.g., relational databases and mobile apps) in a robust and trusted manner. Tao completed his Ph.D. from Yale University.

Collaborators

338
royschcs.washington.edu