larch lab

Interested in joining our group? Please read the FAQ before messaging.

The Language Accessibility Research (LARCH) Lab is a team of faculty and students working on designing, building, and evaluating language technologies that make information more accessible and understandable for everyone. Our goal is to empower people to discover information and collaborate effectively with AI systems on complex decision-making tasks. We are especially motivated by problems in high-expertise domains such as healthcare and science communication.

lab members sitting around a picnic table in the university district of seattle
out for ice cream
lab members standing in front of a staircase
games in the HUB
 

lab members

 

  1. Donghoon surrounded by cherry blossoms at the quad of the UW campus
    Donghoon Shin
    PhD student, HCDE
    Co-advised w/ Gary Hsieh
    2022-
     
    bingbing and her dog noodle in front of a blossoming tree
    Bingbing Wen
    PhD student, iSchool
    Co-advised w/ Bill Howe
    2022-
     
    my face brightens up when I see the ocean
    Katelyn Mei
    PhD student, iSchool
    Co-advised w/ Katharina Reinecke
    2023-
     
    headshot of Anukriti: woman with brownish-black hair wearing a red shirt
    Anukriti
    PhD student, iSchool
    2023-
     
    Izzy looking at the sky with arms outstretched, a lake in the background
    Izzy Chaiken
    PhD student, iSchool
    2023-
     
    photo of a lake in front of some green hills with trees in the foreground
    Anthony Hevia
    MS student, Linguistics
    2023-
     
    photo of green hills in the distance
    Jihan Yao
    Collaborating PhD student, CSE
    2024-
     

    undergraduates

  2. Undergraduate, CSE, 2024-
  3.  

    alumni

  4. 2024-2025, Visiting PhD Student, National Tsing Hua University
    2022-2024, PhD, BIME → Assistant Professor, UIUC Information School
    2022-2024, Masters, CSE → Software Engineer, Meta
    2023-2024, Masters, Northeastern University → PhD student, Virginia Tech
    2023-2024, Undergraduate, Informatics → Software Engineer, Microsoft
    2023-2024, Undergraduate, Informatics → ML Engineer, TrueMedia.org
    2022-2023, Masters, CSE → ML Engineer, Netflix

funding

 

Our work is generously supported by the following grants and gifts:

Ai2 mentorship

 

I have also had (and continue to have) the pleasure to mentor some amazing research interns and predoctoral scholars at Ai2. If you're interested in what it's like to work with me, you can also reach out to these folks.
 
  1. PhD student, MIT, 2024
    PhD student, University of British Columbia, 2024
    PhD student, University of Chicago, 2023
    PhD student, MIT, 2023
    PhD student, University of Toronto, 2023
    PhD student, University of Washington, 2023
    PhD student, University of Toronto, 2022
    Masters student, University of Washington, 2022
    PhD student, Stanford, 2022
    Undergraduate student, University of Washington, 2021
    PhD student, University of Washington, 2021
    PhD student, University of Copenhagen, 2021
    PhD student, Carnegie Mellon University, 2021
    Masters student, University of Toronto, 2021
    Predoctoral Young Investigator, 2020
    Predoctoral Young Investigator, 2020
    PhD student, Northeastern University, 2020
    PhD student, University of Washington, 2020
    Predoctoral Young Investigator, 2020
    Postdoc intern, 2019