Blue (Georgianna) Lin

Hey there! My name is Blue (Georgianna) Lin.

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I am a PhD candidate in the Department of Computer Science at the University of Toronto and a student researcher at Google Health. I currently work on health sensing techniques and user-centered designs for health applications, advised by Khai N. Truong and Alex Mariakakis. I completed my Bachelors and Masters in Computer Science at Georgia Institute of Technology where I worked with Thad Starner and Neha Kumar. I am honored to have received several notable awards, including the Google PhD Fellowship, Wolfond Fellowship, and GVU Distinguished Masters Student Award.

news

Oct 13, 2023 Awarded the Google PhD Fellowship! ūüéČ
Aug 23, 2023 Published Blood glucose variance measured by continuous glucose monitors across the menstrual cycle in Nature Digital Medicine.
Apr 23, 2023 Presented two papers at CHI 2023.
Apr 19, 2023 Published Understanding tensions in music accessibility through song signing for and with d/Deaf and Non-d/Deaf persons in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Apr 19, 2023 Published Identifying Multimodal Context Awareness Requirements for Supporting User Interaction with Procedural Videos in Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Feb 2, 2023 Awarded Wolfond Scholarship in Wireless Information Technology. ūüéČ
Sep 27, 2022 Nominated by University of Toronto for Google PhD Fellowship.
Sep 26, 2022 Nominated by University of Toronto for Apple Scholars in AI\ML PhD Fellowship.
Sep 17, 2022 Nominated by University of Toronto for Vanier Canada Graduate Fellowship.

selected publications

2023

  1. glucose.jpg
    Blood glucose variance measured by continuous glucose monitors across the menstrual cycle
    Georgianna Lin, Rumsha Siddiqui, Zixiong Lin, and 4 more authors
    npj Digital Medicine, 2023

2022

  1. menstrual.png
    Investigating Culturally Responsive Design for Menstrual Tracking and Sharing Practices Among Individuals with Minimal Sexual Education
    Georgianna E Lin, Elizabeth D Mynatt, and Neha Kumar
    In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022

2021

  1. Towards finding the optimum position in the visual field for a head worn display used for task guidance with non-registered graphics
    Georgianna Lin, Malcolm Haynes, Sarthak Srinivas, and 2 more authors
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2021