Danielle Bragg

Senior Researcher
Microsoft Research
danielle.bragg [at] microsoft.com


I am a Senior Researcher at Microsoft Research, in the New England and New York labs. My primary research interests lie in developing computational systems that expand access to information, enhance productivity, and improve quality of life. My work is highly interdisciplinary, combining Human-Computer Interaction, Applied Machine Learning, and Accessibility. I also prioritize seeing projects through to real-world releases. My work has been featured in the Microsoft Research Blog and Podcast, and in The Economist.

Prior to joining Microsoft Research, I completed a PhD in Computer Science & Engineering at the University of Washington, and a BA in Applied Mathematics from Harvard University.

If you are interested in working with me, please check for openings in New York and/or reach out to me directly.

HONORS

SELECT PUBLICATIONS (Google Scholar)

  • Exploring Reduced Feature Sets for American Sign Language Dictionaries
    B. Kosa, A. Desai, A. Lu, R. Ladner, D. Bragg CHI 2025. Honorable Mention trophy icon (paper)
  • Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review
    R. Pang, H. Schroeder, K. Smith, S. Barocas, Z. Xiao, E. Tseng, D. Bragg CHI 2025. (paper)
  • EyeO: Autocalibrating Gaze Output with Gaze Input for Gaze Typing
    A. Sara, J. Alber, C. Zhang, A. Paradiso, D. Bragg, J. Langford. CHI LBW 2025. (paper)
  • ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles
    K. Yin, C. Singh, F. Minakov, V. Milan, H. Daumé III, C. Zhang, A. Lu, D. Bragg. EMNLP 2024. (paper)
  • Studying and Mitigating Biases in Sign Language Understanding Models
    K. Atwell, D. Bragg, M. Alikhani. EMNLP 2024. (paper)
  • The Semantic Reader Project
    K. Lo et al. Communications of the ACM (CACM) 2024. (pre-print) (article)
  • ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
    A. Desai, L. Berger, F. Minakov, V. Milan, C. Singh, K. Pumphrey, R. Ladner, H. Daumé III, A. Lu, N. Caselli, D. Bragg. NeurIPS 2023. (paper)
  • U.S. Deaf Community Perspectives on Automatic Sign Language Translation
    N. Tran, R. Ladner, D. Bragg. ASSETS 2023. (paper)
  • Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
    K. Mack, M. Das, D. Jain, D. Bragg, J. Tang, A. Begel, E. Benetau, J. Davis, A. Glasser, J. Park, V. Potluri. Communications of the ACM 2023. (article)
  • Tech Worker Perspectives on Considering the Interpersonal Impications of Communication Technologies
    E. Maris, K. Wagman, R. Bergmann, D. Bragg. GROUP 2023. (paper)
  • Exploring Team-Sourced Hyperlinks to Address Navigation Challenges for Low-Vision Readers of Scientific Papers
    S. Park, J. Bragg, M. Chang, K. Larson, D. Bragg. CSCW 2022. (paper)
  • Exploring Collection of Sign Language Videos through Crowdsourcing
    D. Bragg, A. Glasser, F. Minakov, N. Caselli, W. Thies. CSCW 2022. Impact Award trophy icon (paper)
  • ASL Wiki: An Exploratory Interface for Crowdsourcing ASL Translations
    A. Glasser, F. Minakov, D. Bragg. ASSETS 2022. (paper)
  • Mixed Abilities and Varied Experiences: A Group Autoethnography of a Virtual Summer Internship
    K. Mack, M. Das, D. Jain, D. Bragg, J. Tang, A. Begel, E. Benetau, J. Davis, A. Glasser, J. Park, V. Potluri. ASSETS 2021. Best Paper Nominee trophy icon (paper)
  • Expanding a Large Inclusive Study of Human Listening Rates
    D. Bragg, K. Reinecke, R. Ladner. TACCESS 2021. (paper)
  • The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective
    D. Bragg, N. Caselli, J. Hochgesang, M. Huenerfauth, L. Katz-Hernandez, O. Koller, R. Kushalnagar, C. Vogler, R. Ladner. TACCESS 2021. (paper)
  • ASL Sea Battle: Gamifying Sign Language Data Collection
    D. Bragg, N. Caselli, J. W. Gallagher, M. Goldberg, C. Oka, W. Thies. CHI 2021. Honorable Mention trophy icon (paper)
  • The Promise and Peril of Parallel Chat in Video Meetings for Work
    A. Sarkar, S. Rintel, D. Borowiec, R. Bergmann, S. Gillett, D. Bragg, N. Baym, A. Sellen. CHI LBW 2021. (paper)
  • Designing an Online Infrastructure for Collecting AI Data From People With Disabilities
    J. Park, D. Bragg, E. Kamar., M.R. Morris. FAccT 2021. (paper)
  • Exploring Collection of Sign Language Datasets: Privacy, Participation, and Model Performance
    D. Bragg, O. Koller, N. Caselli, W. Thies. ASSETS 2020. (paper)
  • Chat in the Hat: A Portable Interpreter for Sign Language Users
    L. Berke, W. Thies, D. Bragg. ASSETS 2020. (paper)
  • Social App Accessibility for Deaf Signers
    K. Mack, D. Bragg, M.R. Morris, M. Boss, I. Albi, A. Monroy-Hernandez. CSCW 2020. (paper)
  • Sign Language Interfaces: Discussing the Field's Biggest Challenges
    D. Bragg, M.R. Morris, C. Vogler, R. Kushalnagar, M. Huenerfauth, H. Kacorri. CHI 2020. (extended abstract)
  • Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
    D. Bragg, O. Koller, M. Bellard, L. Berke, P. Boudrealt, A. Braffort, N. Caselli, M. Huenerfauth, H. Kacorri, T. Verhoef, C. Vogler, M.R. Morris. ASSETS 2019. Best Paper trophy icon (paper) (pre-print)
  • Designing an Animated Character System for American Sign Language
    D. Bragg, R. Kushalnagar, R. Ladner. ASSETS 2018. (paper) <--- NOTE: Open with Adobe Reader to see animations in the PDF itself!
  • A Large Inclusive Study of Human Listening Rates
    D. Bragg, C. Bennett, K. Reinecke, R. Ladner. CHI 2018. (paper)
  • Designing and Evaluating Livefonts
    D. Bragg, S. Azenkot, K. Larson, A. Bessemans, A. Kalai. UIST 2017. (paper) <--- NOTE: Open with Adobe Reader to see animations in the PDF itself!
  • Reading and Learning Smartfonts
    D. Bragg, S. Azenkot, A. Kalai. UIST 2016. (paper)
  • A Personalizable Mobile Sound Detector App Design for Deaf and Hard-of-Hearing Users
    D. Bragg, N. Huynh, R. Ladner. ASSETS 2016. (paper)
  • A User-Powered American Sign Language Dictionary
    D. Bragg, K. Rector, R. Ladner. CSCW 2015. (paper)
  • Synchronous Data Flow Modeling for DMIs
    D. Bragg. NIME 2013. (paper)
  • Battle Event Detection Using Sensor Networks and Distributed Query Processing
    M. Yun, D. Bragg, A. Arora, and H.A. Choi. IEEE INFOCOM 2011. (paper)
  • On Data Transmission Scheduling considering Switching Penalty in Mobile Sensor Networks
    Y. Zhou, D. Bragg, M. Yun, and H.A. Choi. IEEE INFOCOM 2011. (paper)
  • Improving QoS in BitTorrent-like VoD Systems
    Y. Yang, A. Chow, L. Golubchik, and D. Bragg. IEEE INFOCOM 2010. (paper)