Aashaka is a PhD student in the Paul G. Allen School of Computer Science and Engineering. She is advised by Dr. Jennifer Mankoff and Dr. Richard Ladner. In 2020, she graduated from University of Delaware with Bachelors of Science in Computer Science and Cognitive Science. Her research interests are in the fields of accessibility and language — specifically how we can use technology to make the world more accessible. She firmly believes communication should not be a privilege — so she hopes to use her background in computer science and cognitive science to think of integrative approaches to multifaceted problems.
Wen is a fourth-year undergraduate student majoring in Computer Science at the University of Washington. She is interested in the intersection between design, accessibility, and technology. She is also passionate about computer science education and making it equitable and accessible for all students. She is currently working with Venkatesh Potluri on implementing SPRITEs, a method for vision-impaired users to navigate two-dimensional structures using the keyboard surface, as a plugin on open-source screen readers.
Nayha is a junior at the Allen School majoring in Computer Science and minoring in Neural Computation and Engineering. She is passionate about using technology to make the world more accessible. She is currently working on the COVID PPE Analysis project where she does quantitative and qualitative analysis on features of Personal Protective Equipment (PPE) designed in response to the COVID-19 pandemic. In the Allen School, she is the chair of ACM-W, an organization dedicated to cultivating a strong supportive community of women in tech.
My name is Evelyn Yang and I am a sophomore at the University of Washington majoring in Computer Science and minoring in Education, Learning, and Society. I am interested in topics related to equity and accessibility in technology, and I hope to learn how to use CS to address those issues. I am currently working with Taylor on the accessible knitting project.
Jaimie is a third year undergraduate majoring in Informatics looking to concentrate on human-computer interaction and data science. She is interested in creating visual elements that users interact with and how information is presented to others. Currently, she is working on the UWEXP project in the lab.
Caiwei is a 3rd year undergraduate at UW. Her majors are Computer Science & Applied and Computational Mathematical Science, in the track of Data Science and Statistics. She has great interests in data manipulation and machine learning and would like to explore more in related fields. Currently working on a UWEXP project, she focuses on applying data analysis and machine learning skills to analyze students’ mental health.
Wenjun Chen is a senior student double majoring in Computer Science and Informatics. Her passion lies in leveraging behavioral data from the web, social media, and social interactions to generate actionable insights to address social good and enhance people’s lives. She is currently working on the RainClassroom Data Mining Project in the lab.
I am a junior majoring in Applied & Computational Mathematical Science. With interests and enthusiasm in data science and information technology, I’m studying coursework related with math, statistics, and computer science, and practicing programming and data manipulation work. To learn how we apply data to solve problems and approach research goals, I am currently working on the UWEXP study to help improve the way of handling and processing the survey data.
Kathryn Lum is a third year undergraduate majoring in Computer Science at the University of Washington – Seattle. She is interested in the intersection of technology and social good. Under Kelly Mack and Megan Hofmann, Kathryn is working on the tactile maps project, researching the use of tactile maps in navigation for people with visual impairments.
Tim is a second-year undergraduate majoring in Statistics. His passion lies in data science and human-computer interaction. He is currently working on the UWEXP project to develop technologies that collect and improve student’s experience.