About me

Hi, I’m Akari Asai (浅井明里). [CV]
I am a first-year Ph.D. student in the Natural Language Processing group at Paul G. Allen School of Computer Science & Engineering, University of Washington. I am fortunate to be advised by Hannaneh Hajishirzi. Prior to UW, I received B.E. in Electrical Engineering and Computer Science from The University of Tokyo, Japan.

My primary research interests lie in Natural Language Processing. In particular, I am interested in developing models that could reason over both unstructured text and structured data. I have been also working on Computer Vision and Machine Learning, with a focus on uncertainty in deep learning models’ predictions.

I interned in Salesforce Research (Summer 2019, Research Intern), Microsoft Research Lab Asia (MSRA) (Winter 2018, Research Intern), Google Search (Summer 2016, Engineering Intern), Google Chrome (Summer 2017, Engineering Intern) and Megagon Labs (Recruit Institute of Technology) (Spring 2017, Research Intern).


  • 2020.4: Our paper on logic guided regularization and data augmentation for consistent question answering has been accepted to The Annual Conference of the Association for Computational Linguistics (ACL) 2020!
  • 2019.12: Our paper on open-domain QA has been accepted to International Conference on Learning Representations (ICLR) 2020!
  • 2019.9: Started my Ph.D. at the University of Washington :)
  • 2019.5: Our work on uncertainty estimation in deep visual learning has been accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Uncertainty and Robustness in Deep Visual Learning 2019! See you in Long Beach :)
  • 2019.3: Awarded The Young Researcher Award of the 25th Annual Meeting of the Association for Natural Language Processing!
  • 2019.3: I will intern in salesforce research at Palo Alto, CA this spring :)