Ellie Seehorn

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 Wang

A picture of Tongyan Wang.

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.

Margaret Morris

Margaret Morris is a clinical psychologist who studies how technology can promote mental and physical health. As a senior research scientist at Intel, she created novel systems to bring psychological assessment and intervention into daily life. She has since consulted for Amazon and other technology companies on research related to personal data, communication and connected devices. Margaret currently leads qualitative research for a study of student well-being at the University of Washington and translates finding to guide intervention design. She is the author of Left to Our Own Devices: Outsmarting Smart Technology to Reclaim Our Relationships, Health, and Focus (MIT Press, 2018).

Megan Hofmann

Megan is a Phd Student at the Human Computer Interaction Institute at Carnegie Mellon Unviversity. She is advised by Prof. Jennifer Mankoff of the University of Washington and and Prof. Scott E. Hudson. She completed her bachelors in Computer Science at Colorado State University in 2017. She is an NSF Fellow, and a Center for Machine Learning and Health Fellow. During her Undergraduate degree Megan’s research was adviced by Dr. Jaime Ruiz and Prof. Amy Hurst.

Her research focuses on creating computer aided design and fabrication tools that expand the digital fabrication process with new materials. She uses participatory observation and participatory design methods to study assistive technology and digital fabrication among many stakeholder (people with disabilities, caregivers, and clinicians).

Visit Megan’s homepage at https://www.megan-hofmann.com/publications/.


Some recent projects (see more)

Natasha Sidik

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/.

Yuna Liu

Yuna Liu is a second-year undergraduate majoring in Mathematics and Applied Mathematics. She is interested in simulation and mathematical modelling, and hopes to go to graduate school to study related fields. Yuna is currently on a UW EXP project that focuses on systematic review about the generalizability of passive sensing for health & well-being.

Brian Lee

My name is Brian Lee and I am a Junior at the University of Washington studying computer science.
I am passionate about human computer interaction and accessibility in technology, and I am learning to build applications that can have an impact on everyone, not just a select few.
Currently, I am working with Kelly on the Sensing project, building a Samsung SmartWatch and Android phone app to allow people with chronic illnesses to tag and track sensor data throughout their day.

Aadi Jain

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 Liao

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 Figueira

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.