Anne Marie's research in Human-Computer Interaction investigates natural user interfaces to support communication and social interaction for people with disabilities and older adults. Currently her research focuses on accessible content creation practices and tools for people with disabilities across the lifespan.

Bryan develops new methods in Machine Learning, Signal Processing and Human-Computer Interaction to make new tools for understanding and manipulating sound. Ongoing research in his lab is applied to audio scene labeling, audio source separation, inclusive interfaces, new audio production tools and machine audition models that learn without supervision. 

Darrens teaching and research interests are broadly defined by the fields of Human-Computer Interaction and Social Computing. In particular, he is interested in furthering our theoretical understanding of the impact technological mediation has on communication, and applying this to the design, development, and evaluation of novel collaboration technologies.

Maitraye is interested in studying and designing technologies to support collaboration, communication, and social interaction in ability-diverse teams. Her current project focuses on exploring how people with vision impairments collaborate with sighted peers in different domains such as professional writing and creative making. To this end, she engages in ethnographic field observations, contextual interviews, co-designing and technology testing with people having vision impairments.

Using a qualitative approach, Katya’s main line of work focuses on understanding the experiences and technology use practices of individuals with developmental disabilities, such as autism, across the lifespan. Katya seeks to use this knowledge to inform the design of new technologies to help support their needs and personal goals. She has also studied collaboration among people with diverse abilities in the contexts of learning and creative work environments.

Adam has a background in computational linguistics, and uses that to study the linguistic markers of collaboration. By modeling discourse, the goal is to visualize and understand when conversation partners are more cooperative or competitive. This can then be extended to improving collaboration for individuals using, e.g., screen readers, so that they can better connect elements of a dialog.

Abir is interested in understanding how people with vision impairments use technologies to produce and edit audio and designing accessible and assistive technologies to better support audio production and editing experiences for people with vision impairments.

Cooper is an undergraduate student in Computer Science with a background in UX design, machine learning, and physical crowdsourcing technologies. His current project explores how software developers think about accessible design and how we can develop mechanisms to scaffold the creation of accessible interfaces and applications.

Jack is a BS/MS student doing research in the Interactive Audio Lab, under Prof. Bryan Pardo. He is currently working with Abir Saha to design audio engineering interfaces for the blind. His work involves reimagining existing digital audio workstations (DAWs) and audio plugins (VSTs) to make them more accessible.

Tommy is interested in inclusive music, programming, and learning environments. He is currently exploring research around multimodal music for the deaf and hard of hearing, improving accessibility workflow construction through programming language design, high-accuracy computer vision to support sign-language classification, and tangible & digital constructionist experiences to support learning in educational environments.