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Hannaneh Hajishirzi - University of Washington

Torode Family Professor
Paul G. Allen School of Computer Science and Engineering
 Adjunct at: UW Electrical and Computer Engineering, Linguistics
University of Washington
Senior Research Director
Allen Institute for AI

 Email: hannaneh [at] cs [dot] washington [dot] edu

About

Hanna Hajishirzi is the Torode Family Professor in the Allen School of Computer Science and Engineering at the University of Washington and a Senior Research Director at Ai2. She received her Ph.D in Computer Science from University of Illinois at Urbana-Champaign, and spent a year as Postdoctoral associate at Disney Research and CMU. Her current research delves into various areas within NLP and AI, with a particular focus on understanding and pushing the boundaries of large language models. She has published more than 140 scientific articles in top-tier journals and conferences in ML, AI, NLP, and Computer Vision. She is a recipient of 2020 Alfred Sloan Fellowship, 2021 NSF CAREER award, 2019 Intel rising star award, 2018 Allen Distinguished Investigator award, 2023 Academic Achievement UIUC Alumni award, 2024 innovator of the year award finalist by GeekWire, and several research faculty awards from industry. The work from her lab has been nominated or received best paper awards at conferences and have been featured in a variety of magazines and newspapers including New York Times, Forbes, NPR, MIT Technology Review, Geekwire, Wired Magazine, and more.

Recent awards:

  • UIUC Academic Achievement Alumni Award
  • NSF CAREER award
  • Sloan Fellowship
  • Intel Rising Star Faculty Award
  • Allen Distinguished Investigator Award
  • Research faculty awards: Amazon, Facebook, Google, Samsung GRO, Bloomberg

My lab (H2lab) mainly publishes at NLP (ACL, NAACL, EMNLP), AI and ML conferences (AAAI, ICLR) across these areas:

Research

My research is mainly focused on NLP and language modeling. The goals of my research include (1) establishing the science of language modeling through the OLMo project, (2) advancing their scope to make them applicable and useful for human lives through our post-training efforts, and (3) introducing a new generation of LMs that address fundamental challenges inherent in the current models through our retrieval-based langauge modeling efforts.

Contact

    Office: Paul Allen Center 654
    Phone: (206) 221-3921
    Email: hannaneh [at] cs [dot] washington [dot] edu