JooYoung Seo

Assistant Professor

PhD, Learning, Design, and Technology, Pennsylvania State University

Other professional appointments

  • Faculty Affiliate, Beckman Institute
  • Faculty Affiliate, National Center for Supercomputing Applications (NCSA)
  • Faculty Affiliate, Illinois Informatics
  • Data Science Educator Affiliate, RStudio
  • Affiliate Scientist, Rehabilitation Engineering Research Center (RERC) on Blindness and Low Vision at the Smith-Kettlewell Eye Research Institute

Research focus

Accessible computing/data science, ability design human-computer interaction, inclusive Learning Sciences/STEM+C education across dis/abilities, and accessible health informatics.

Honors and Awards

  • Early Career Award, Institute of Museum and Library Services (IMLS), 2023-2026
  • Teach Access Faculty Award, 2023
  • Teacher Ranked as Excellent, University of Illinois (Spring 2022)
  • Best Paper Honorable Mention, 2022 ACM CHI
  • 2021-2022 Emerging Scholar, International Society of the Learning Sciences (ISLS)
  • Qualcomm Fellowship (2020), ACM Richard Tapia Celebration of Diversity in Computing Conference
  • Doctoral Dissertation Fellowship (2020), College of Education, The Pennsylvania State University
  • Cengage Best Doctoral Proposal Fellowship (2019), International Conference on Quantitative Ethnography
  • Andrew V. Kozak Memorial Fellowship (2019), The PDK Educational Foundation
  • Delta Gamma Golden Anchor Award (2015, 2017), The Pennsylvania State University
  • Global Korean Government Scholarship (2014-2016), National Institute for International Education, Korean Government, Seoul, South Korea


JooYoung Seo is an assistant professor in the School of Information Sciences, faculty affiliate at the National Center for Supercomputing Applications, and faculty affiliate at Informatics at the University of Illinois Urbana-Champaign. Seo is also an RStudio double-certified data science instructor and accessibility expert certified by the International Association of Accessibility Professionals (IAAP). His research topics involve accessible computing, universal design, inclusive data science, and equitable healthcare technologies. As an emerging learning scientist and information scientist, his research focuses particularly on how to make computational literacy more accessible to people with dis/abilities by using multimodal data representation.

He has worked on various research and development projects on accessible computing and open-source data science packages (e.g., gt; shiny; rmarkdown to name a few) for accessibility. His research projects have involved not just web accessibility, but also human-centered design and development studies, including inclusive makerspaces, tangible block-based programming, accessible data science (e.g., data tactualization, sonification, and verbalization), and accessible/reproducible scientific writing tools for people with and without dis/abilities.

His research is funded by national institutes, industrial partners, and academic society, such as Institute of Museum and Library Services (IMLS), National Science Foundation (NSF), National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), Posit Software, PBC (formerly RStudio), Teach Access, and the International Society of the Learning Sciences (ISLS) and the Wallace Foundation.

Seo obtained his PhD and M.Ed in learning, design, and technology at the Pennsylvania State University, and double BA in education and English literature from Sungkyunkwan University, Seoul, South Korea.

JooYoung Seo CV

Office hours

By appointment, please contact professor

Publications & Papers

Seo, J., & Rogge, M. (accepted). Coding non-visually in visual studio code: Collaboration towards accessible development environment for blind programmers. The 25th International ACM SIGACCESS Conference on Computers and Accessibility.

Seo, J., & Dogucu, M. (2023). Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations. Journal of Data Science, 1–14.

Seo, J., Xia, Y., Yam, Y. J., & McCurry, S. (2023). MAIDR: Multimodal Access and Interactive Data Representation System for Inclusive Data Science Education. 2023 International Conference of the Learning Sciences.

Lee, J. G. W., Lee, K., Lee, B., Choi, S., Seo, J., & Choe, E. K. (2023). Personal Health Data Tracking by Blind and Low-Vision People: Survey Study. Journal of Medical Internet Research, 25(1), e43917.

* Kaushik, S., Barbosa, N. M., Yu, Y., Sharma, T., Kilhoffer, Z., Seo, J., Das, S., & Wang, Y. (2023). GuardLens: Supporting safer online browsing for people with visual impairments. Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023), 361–380.

Zhang, Z. (Jerry)., Kaushik, S., Seo, J., Yuan, H., Das, S., Findlater, L., Gurari, D., Stangl, A., & Wang, Y. (2023). ImageAlly: A Human-AI hybrid approach to support blind people in detecting and redacting private image content. Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023), 417–436.

Moon, J., Choi, G. W., & Seo, J. (accepted). Revisiting multimedia learning design principles in virtual reality-based learning environments for autistic individuals. Virtual Reality.

Moon, J., Lee, D., Choi, G. W., Seo, J., Do, J., & Lim, T. (2023). Learning analytics in seamless learning environments: A systematic review. Interactive Learning Environments, 0(0), 1–18.

Kim, S. H., Yoon, A., & Seo, J. (in press). Trend of collaboration in STEM education in informal learning institutions based on IMLS-funded projects. Annual Meeting 2023 Association for Information Science and Technology. Annual Meeting 2023 Association for Information Science and Technology.

Seo, J., & Dogucu, M. (2022). Teaching visual accessibility in the introductory data science classes: Why, what, when, and how. The 2022 symposium on data science & statistics. Pittsburgh, PA, USA: American Statistical Association.


Seo, J. (2021, October). Non-Visual Strategies for Making Statistical-Computing Accessible. Lightening talk at the National Center for Supercomputing Applications, Champaign, IL.

Seo, J. (2021, September). Accessibility of Science Beyond Content Accessibility. Talk presented at the Argonne National Laboratory (Maths and Computer Science Division):

Seo, J. (2021, June). How to Learn to Code. Nature, Webcast:

Seo, J., & Richard, G. T. (2021, February). Uncovering latent topics of blind people in computer science: structural topic modeling for an email corpus. The International Conference on Quantitative Ethnography (ICQE), Malibu, CA.

Seo, J. (2021, January). Accessible data science beyond visual models. RStudio::global(2021):

Seo, J. (2020, September). Discovering knowledge sharing patterns of blind people pursuing STEM disciplines: data science and computational linguistics on large-scale email corpora. The ACM Richard Tapia Celebration of Diversity in Computing.

Seo, J., & Richard, G. T. (2020, April). Maker inclusivity = maker accessibility: further interrogations for diverse participation. The American Educational Research Association (AERA), Virtual.

Seo, J., & Richard, G. T. (2018, April). Furthering inclusivity in making: a framework for accessible design of makerspaces for learners with disabilities. The American Educational Research Association (AERA), New York City, NY.

Seo, J. (2017, September). Tactile access to visualized statistical data using R. The ACM Richard Tapia Celebration of Diversity in Computing, Atlanta, GA.

Liao, J., Patcyk, M., Seo, J., & Hooper, S. (2016, October). Using hierarchical linear modeling to measure growth rate in a gamified CBM environment. The Northeastern Educational Research Association (NERA), Trumbull, CT.