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.
Jessica Birchfield is a junior majoring in Computer Science with a Chinese minor. She is passionate about using technology to address human needs and enhance people’s lives. Her interests include fabrication, computer animation, and computer graphics. She is currently working on the Tactile Maps project in the lab.
Jerry is a 4th year undergraduate in the Paul G. Allen School of Computer Science and Engineering at the University of Washington and is applying for PhD programs. He is an Undergraduate Research Leader with the Undergraduate Research Program at UW and a Mary Gates Scholar.
His research focuses on utilizing fabrication and computer science to make healthcare technologies more affordable and accessible to the general populous. His current projects include generating optimized 3D-printable tactile maps and designing a cheap, unobtrusive continuous blood pressure monitor.
Jacque is a senior studying Computer Science and minor in Mathematics, and also works as a Student Ambassador in the Paul G. Allen School of Computer Science and Engineering, promoting computing and technical education to under-resourced and under-represented K-12 students. With a broad curiosity of how technology and computing influences interpersonal interactions, she is currently working on the UWEXP study to help develop the mobile technology used to collect student data, encompassing her diverse interests in mobile and accessible technologies, education, and personal health and wellness.
Han is a PhD student in the Paul G. Allen School of Computer Science & Engineering. She is advised by Prof Jennifer Mankoff (Computer Science) and Prof Anind K. Dey (Information School). She completed her first PhD in mathematics at Northwest University in 2018. During that time, she was a visitor at Nanyang Technological University for two years, hosted by Prof Chaoping Xing.
Her research interests lie in understanding human behaviors and the design of computer-aided methods to improve human well-being. Her recent projects focus on predicting the academic performance of college students by leveraging multiple types of data, as well as understanding the behavioral differences of different student subgroups.