Brianna is a Ph.D. student in Computer Science and Engineering at the University of Notre Dame and a visiting researcher at the University of Washington. She’s advised by Dr. Ronald Metoyer (Notre Dame) and Dr. Jennifer Mankoff (Washington). Brianna earned her Bachelor’s in Computer Science from the University of Alabama in 2021, advised by Prof. Chris Crawford. She is also a Google Ph.D. Fellow.
Her research centers on improving data visualizations for accessibility, particularly for those with visual impairments. She works on identifying accessibility challenges and crafting more user-friendly interactive visualization experiences.
Kate is a PhD student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. She is advised by Professor Jennifer Mankoff. She completed her undergraduate studies at USC, where she double-majored in Computer Science and Business Administration, as well as received her master’s degree in Computer Science. She is an NSF CSGrad4US fellow.
She is interested in studying the intersection of digital and physical technologies that empower those with disabilities or illnesses. Her recent research focuses on generative AI and accessibility, seeking to gain a deeper understanding of the opportunities for improving access as well as identifying areas for improvement.
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.
Jerry is a PhD student at the Paul G. Allen School for Computer Science & Engineering at the University of Washington. He conducts research in the Make4All Lab and UbiComp Lab, where he’s advised by Jennifer Mankoff and Shwetak Patel.
His research focuses on improving healthcare accessibility by creating assistive technologies using digital fabrication and wearable sensing. He also works in the pure fabrication space, creating novel 3D-printable sensors and optimizing the strength of 3D-printed parts.
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).
Her research is human-centered, focusing on understanding human behaviors and designing AI systems that promote well-being, accessibility, and learning. For more details, please visit her personal website.
Daniel is a first-year PhD student in the Paul G. Allen School of Computer Science and Engineering. He is advised by Drs. Jennifer Mankoff (Computer Science) and Jeffrey Lipton (Mechanical Engineering). He graduated from Texas A&M University with a BS in Electrical Engineering (2012) and an MS in Electrical Engineering from Georgia Tech (2016) and afterwards worked at Texas Instruments Kilby Research Labs (2016-2019).
Daniel’s research interests lie at the intersection of inverse design, additive manufacturing, and accessibility of fabrication. His prior work focused on industrial scale additive manufacturing applications; however, he has since turned his focus toward software solutions to enable the design of intricate digital models with minimal effort.
