I'm Lucy Jiang, and I'm passionate about developing accessible technology, fostering an inclusive community, and harnessing creativity for social good.

I'm a second-year graduate student studying Computer Science at Cornell University, advised by Dr. Shiri Azenkot! My research interests are in accessibility and human-computer interaction. In the fall, I will be starting as a PhD student in Human Centered Design and Engineering at the University of Washington, advised by Dr. Leah Findlater! I am grateful to be supported by a NSF Graduate Research Fellowship.

During my time at Cornell, I worked on a handful of accessibility research projects. My first project, focused on 360° video accessibility, was published and presented at ASSETS 2023! I am also excited to be presenting our work on video accessibility across different viewing scenarios at CHI 2024. Additionally, I've collaborated on research regarding hate and harassment on social media and invisible disability representation through social VR avatars.

Outside of research, I also volunteer as part of Cornell's Graduate Student School Outreach Program (GRASSHOPR), serve as the President of the Computer Science Graduate Organization, mentor interdisciplinary undergraduate research projects through the Milstein Program, and have assisted with the SoNIC Assistive Robotics workshop.

I graduated from the University of Washington with a BS in Computer Science in June 2022. As an undergraduate, I collaborated on and coauthored three research papers with Dr. Leah Findlater in the Inclusive Design Lab, co-founded and conducted user research in an AI-driven audio description startup, TA'd for courses including Human-Computer Interaction (CSE 440) and Data Structures and Parallelism (CSE 332), and organized department-wide social events to build community as the Chair of UW's ACM chapter.

My honors thesis, advised by Dr. Richard Ladner, focused on the design of automated audio description pipelines and understanding how to best integrate visual question answering tools to provide blind and low vision writers with the context necessary to independently write audio descriptions. I received the 2022 Outstanding Undergraduate Senior Thesis award from UW CSE for my work on this project.

If you'd like to chat, I'd love to connect over Zoom, email, or in-person over bubble tea and pastries! 😊