I am a Senior Researcher at Microsoft Research New England. My research focuses on developing systems that expand access to information for people with disabilities, in particular sign language users and low-vision readers. My work is interdisciplinary, combining Accessibility, Human-Computer Interaction, and Applied Machine Learning. I take data-driven approaches to address accessibility problems, helping to make the world a more equitable place. I completed my PhD in Computer Science at the University of Washington advised by Richard Ladner, and hold an AB in Applied Mathematics from Harvard.
My diverse past research projects have spanned data visualization, computational biology, computer music, applied mathematics, and network protocols.
Microsoft Research Podcast
Episode 118 | June 10, 2020 - Many computer science researchers set their sights on building general AI technologies that could impact hundreds of millions – or even billions – of people. But Dr. Danielle Bragg, a senior researcher at MSR’s New England lab, has a slightly smaller and more specific population in mind: the some seventy million people worldwide who use sign languages as their primary means of communication. On the podcast, Dr. Bragg gives us an insightful overview of the field and talks about the unique challenges and opportunities of building systems that expand access to information in line with the needs and desires of the deaf and signing community.