Yusuf Shahpurwala is a freshman studying computer science at the University of Washington. Most of his coding experience so far has been through making web applications. He is hoping to learn more about human-computer interaction, machine learning, and embedded systems over the next couple of years. To relax he enjoys playing sports and reading. He is excited to currently be working on the Accessible Knitting project with Make4all.
Zelin is a first-year Master’s student majoring in Mechanical Engineering with Data Science at the University of Washington. He completed his bachelor’s degree in Mechanical Engineering at Colorado State University where he also engaged in research in the field of manufacturing high-performance polymers by 3D printing and robotics.
His current research, led by Momona, focuses on modeling and enhancing biosignals-based human-machine interaction to support accessibility and health. He presently works on data collection and analysis of biosignals.
Evan is an undergraduate at University of Washington, majoring in Computer Science. He is passionate about computer graphics and the huge potential of combining graphical programming techniques with fabrication such as 3D printing, machine embroidery, and so on. In the meantime, he is also a member of the UW Reality Lab. He learned advanced knowledge on how to design interactive, efficient, and accessible applications that run in virtual reality, but he also wants to make them physically touchable and perceivable and bring those models to real life. Since started discovering the vast potential in computer fabrication, he has decided to become a part of the pioneers in this field and contribute to the goal of making designs for everybody.
Christina Zhang is a senior at University of Washington, majoring in Computer Science and Informatics, her research interests are mainly HCI, mHealth, behavioral health, accessibility and social computing.
Her current work involves supporting early identification of mental health issues in adolescents, and software-based solutions to accessible communication in higher education.
In the past, she has worked on a research project that studies how online tests could be leveraged to bridge the gap in the support system of people with cognitive and mental disabilities, the paper she co-authored won the Best Paper Award on ASSETS 2021.
Claris Winston is a third-year undergraduate studying Computer Science at the Paul. G. Allen Center for Computer Science and Engineering at the University of Washington. She is interested in human-computer interaction and accessibility research, and the applications of machine learning and computer vision to improve accessibility in the field of healthcare/sports medicine. She recently participated in and presented a paper that she co-authored at ICSE 2022. Apart from being involved as a teaching assistant in the Computer Science department, she loves graphic design. One of her designs can be found on the cover of the May 2022 ACS SynBio journal. In her spare time, she loves to bake cakes, compose music, and play the piano.
Currently, in the Make4all lab, she is excited to be working on the embroidered tactile graphics project.
Bo is a master’s student in technology innovation at the University of Washington. His research has focused on designing and fabricating novel technologies to be more accessible and affordable for the public. In the Make4all lab, he is working on a tactile graphic project.
Yunqi (George) Wang is a senior at the University of Washington majoring in Computer Science and Mathematics. He is passionate about making technology more inclusive and considers humans as the primary factor when it comes to design practice. He is currently working on an EMG gesture project for people with disability to have better access to electronic devices.
Ellie is an undergraduate at Grinnell College in Grinnell, Iowa double majoring in Computer Science and Sociology. There, she works for Disability Resources creating community engagement content, building a new user-friendly website, and ensuring PDF compatibility with screen readers. Her interest in accessibility issues began here and was furthered by projects in her introductory computer science coursework. She is interested in human-computer interaction and hopes to use the intersection of both her degrees to work to use computing ethically in ways that promote accessibility and improve the human experience rather than exploit it.
She is working with Make4All during the summer of 2022 through the DUB REU and is affiliated with AccessComputing. She will be working on the machine embroidery project.
Tongyan is a first-year Master’s student at UW majoring in Industrial & Systems Engineering. She graduated from Peking University with a B. Eng. in Materials Science & Engineering in 2021, where she also engaged in research in the field of Operations Research focusing on the optimization of the emergency food system.
She has been deeply attracted to the field of accessibility since discovering it. She is passionate about promoting technology accessibility and hopes to utilize her interdisciplinary background to better serve the goal. Currently, she is working on the machine embroidery project at the lab.
Natasha Ann Sidik is a Senior at the University of Washington majoring in Psychology with a Minor in Informatics. As an advocate for inclusivity, she centers most of her work on learning, normalizing, and sharing best practices around accessibility.
Growing up in Indonesia and the US as a non-traditional student gave her many perspectives and allowed her to network with diverse groups of people. Under the make4all Lab, Natasha is currently working on research to help improve the experiences of students with disabilities at the University of Washington. Find more of her work at https://sidiknatasha.github.io/portfolio/.
![[An Asian male person] stands and smiles, facing the camera. He wears a hat, a sweater, and a jacket. The background has snowy mountains.](https://i0.wp.com/make4all.org/wp-content/uploads/Bo_liu-scaled-e1665435836976.jpg?resize=1038%2C576&ssl=1)
