Stacy Hsueh is a postdoctoral researcher at UW’s Center for Research and Education on Accessible Technology and Experiences (CREATE), working with Jen Mankoff and Anat Caspi.
Her work uses critical theories to interrogate computing norms and employs design methods to explore disability-led design. Her current research focuses on understanding experiences of precarity in underserved communities and examining the role of technology plays in challenging or reinforcing structural inequities.
Miles is a third-year computer science undergraduate at the University of Washington. He is interested in new applications of generative AI, HCI, and programming languages. In his free time, he enjoys running and brunch with friends. Miles is currently working on the Accessible Flowcharts Project.
Runxin Shi is a third-year undergraduate studying Computer Science at the Paul G. Allen School of Computer Science and Engineering at the University of Washington. He is passionate about using modern technologies, such as wearable devices, to enhance accessibility and unlock new possibilities for people with disabilities. With experience in backend development, qualitative research, user research, and interaction design, Runxin takes a multidisciplinary approach to problem-solving. Beyond academics, he has a deep appreciation for art and enjoys visiting museums and creating interactive art installations in his free time.
Varun Narayanswamy is a student in the Master’s from Human Computer Interaction and Design (MHCI+D). His research interests include HCI, data visualization, frontend development, mobile development, and education technology.
Yusuf is a second-year undergraduate at the University of Washington majoring in Computer Science. He has prior experience with full stack web development and databases. He is interested in how generative AI can be used to improve accessibility. He is also interested in Machine Learning and Systems Programming. In his free time, he enjoys playing spikeball and watching football. Currently, he is working on the Text Simplification Project in the Make4All lab.
Julie Zhang is a freshman at the University of Washington intending to major in Computer Science. She has prior coding experience with data analysis and front-end web development. She hopes to learn more about qualitative coding, human-computer interactions, and fabrication technology to improve accessibility. In her free time, she enjoys running, crocheting, and gardening. She’s excited to work on mobility devices with Make4All!
Brianna is a Ph.D. student in Computer Science and Engineering at the University of Notre Dame and a visiting researcher at the University of Washington. She’s advised by Dr. Ronald Metoyer (Notre Dame) and Dr. Jennifer Mankoff (Washington). Brianna earned her Bachelor’s in Computer Science from the University of Alabama in 2021, advised by Prof. Chris Crawford. She is also a Google Ph.D. Fellow.
Her research centers on improving data visualizations for accessibility, particularly for those with visual impairments. She works on identifying accessibility challenges and crafting more user-friendly interactive visualization experiences.
Kate is a PhD student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. She is advised by Professor Jennifer Mankoff. She completed her undergraduate studies at USC, where she double-majored in Computer Science and Business Administration, as well as received her master’s degree in Computer Science. She is an NSF CSGrad4US fellow.
She is interested in studying the intersection of digital and physical technologies that empower those with disabilities or illnesses. Her recent research focuses on generative AI and accessibility, seeking to gain a deeper understanding of the opportunities for improving access as well as identifying areas for improvement.
Hello! I am a Masters student in the school of Electrical & Computer Engineering.
I am broadly interested in Technology, the world and philosophy. Although my specific research interests are still maturing, HCI and AI are the fields that captivate me currently.
Ben is an incoming second-year undergraduate at the University of Washington, majoring in computer science. He has prior programming experience in mobile development, machine learning, and data visualization. He is excited to learn more about data science and how it can be used to inform decisions for everyday life. In the near future, he also hopes to dive into computer vision and databases. His outside interests include playing and watching basketball, listening to music, and running. He will be working on analyzing the associations between various student groups’ behavior, academics, and well-being.