I am an avid software enthusiast with keen interest and experience in a wide array of software domains ranging from full stack to low level embedded programming. Currently, a Junior here at the Paul G Allen Institute at UW pursuing Computer Science. I am working on the Sensing App under the supervision of Kelly Mack at the Make4All lab.
Simona is a sophomore at UW majoring in Computer Science and minoring in Gender, Women, Sexuality Studies. As an interdisciplinary student, she is passionate about applying technical skills to create a more equitable society. Currently, Simona is working on the UW EXP Study, which aimed to improve the well-being of Engineering students and process the EMA data collected from surveys. Simona is actively involved in leadership roles in the Society of Women Engineers at UW and Minorities in Tech in the Allen School.
Olivia is a student at Santa Clara University pursuing a BS in Computer Science and Engineering with minors in Mathematics and Economics, and will be graduating in June, 2021. In the summer of 2019, she participated in CRA-WP’s Distributed Research Experience for Undergraduates (DREU) in the Make4All group with Jennifer Mankoff. She worked closely with Yasaman Sefidgar and Han Zhang to investigate the contribution of correlated stressors on mental health in college students leveraging actively-reported data from surveys and passively-sensed data from phones and wearables from the UWEXP study. She hopes to pursue a PhD in Computer Science and explore the field of human-computer interaction further.
Aashaka is a PhD candidate in the UW Paul G. Allen School of Computer Science and Engineering. She is advised by Dr. Jennifer Mankoff and Dr. Richard Ladner. Her research focuses on d/Deaf and hard-of-hearing communication accessibility and explores how can we support all ways of communicating. She explores a range of modalities (speechreading, signing, captioning) as well as languages (multilingualism) in my work. She aims to both document the fluidity of language/communication as well as build technologies that support minoritized communication practices.
You can read more about Aashaka’s research at https://aashakadesai.github.io/
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.
