Brianna Richardson
Computer Scientist
Who am I?
Hello! My name is Brianna Richardson and I am a 5th year PhD student at the University of Florida in the Human eXperience Research lab. My research pursuits are a medley of my passions: technology and philosophy.
Much of my research focuses on producing Responsible Machine learning, via explainability and accountable programming. I have written and conducted much work on the use of AI in education, healthcare, criminal justice, and medicine. My dissertation focuses on building explainable approaches to responsible AI via robust statistics. I have had the pleasure of contributing to responsible AI efforts at major institutions like Spotify and IBM. Within my repertoire, you will see expertise in statistics and mathematics, programming, user design research, and philosophy.
My undergraduate research experience was composed of a variety of applied Computer Science. Mainly in the field of Bioinformatics. I have worked in several academic institutions, applying machine learning and data analytics techniques to a variety of data, from Non-Small Cell Lung Carcinoma biopsies to gestational biopsies for Ulcerative Colitis prognosis. This experience with applied machine learning invigorated my love for the field and my interests in analyzing the domains that we use such a predictive toolset.
I am currently looking for full-time positions where I have the opportunity to apply my skills in Machine Learning and Statistics. Please enjoy my page and don't hesitate to reach out with any questions or comments!
Presentations, Proceedings, & Publications
Richardson, B., Garcia-Gathright, J., Way, S. F., Thom, J., Cramer, H. (2021). Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits. In CHI Conference on Human Factors in Computing Systems (CHI '21), May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA,13 Pages.
Roberts A.L., Richardson B., Alikhademi K., Drobina E., & Gilbert J.E. (2021). General Perspectives Toward the Impact of AI on Race and Society. In: Pearson Jr. W., Reddy V. (eds) Social Justice and Education in the 21st Century. Diversity and Inclusion Research. Springer, Cham.
Prioleau, D., Richardson, B., Drobina, E., Martin, J., Williams, R., Gilbert, J.E. (2021). How Students in Computing-Related Majors Distinguish Social Implications of Technology. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). ACM, New York, NY, USA, 1013–1019.
Alikhademi, K., Drobina, E., Prioleau, D., Richardson, B., Purves, D., Gilbert, J.E. (2021). A review of predictive policing from the perspective of fairness. Artif Intell Law (2021).
B. Richardson, D. Prioleau, K. Alikhademi and J. E. Gilbert. (2020). "Public Accountability: Understanding Sentiments towards Artificial Intelligence across Dispositional Identities," 2020 IEEE International Symposium on Technology and Society (ISTAS), pp. 489-496, doi: 10.1109/ISTAS50296.2020.9462184.
Alikhademi, K., Richardson, B., Ross, K., Sung, J., Gilbert, J., Kwon, W.S., Chattaraman, V. (2019). AI-Based Technical Approach for Designing Mobile Decision Aids. In: Stephanidis C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033, pp. 163–169.
Alikhademi, K., Richardson, B., Martins, J., Chattaraman, V., Kwon, W.S., Gilbert, J. (2019). Systematic Evaluation of a Conversational Voice User Interface for Decision-making. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63, pp 413-416. 10.1177/1071181319631200.
Richardson, B., Alikhademi, K., Drobina. E. (2022). Keeping Humans in the Loop Towards Responsible ML. Presentation given at ACM’s 2022 Richard Tapia Celebration of Diversity in Computing Conference.
Richardson, B and Varshney, K. (2021). Addressing The Design Needs Of Implementing Fairness In AI Via Influence Functions. Invited Talk at the 2021 INFORMS Annual Meeting, virtual.
Prioleau, D and Richardson, B. (2020). Technological Needs of the Black Collective. Presentation given at ACM’s 2020 Richard Tapia Celebration of Diversity in Computing Conference, virtual.
Sherman, I., Smarr, S., Smith, T., Richardson, B., Gilbert, J. (2018). Exploring Culturally Responsive Game Development. Presentation given at the annual meeting of the International Conference on Urban Education, Nassau, Bahamas.
Alikhademi, K., Mack, N., Ross, K., Richardson, B., Chattaraman, V., Kwon, W.S., Gilbert, J. (2018). Implementing MODA: A Multi-Strategy, Mobile, Conversational Consumer Decision-Aid System. Presentation given at the annual meeting of the ACM Conference on Computer-Supported Cooperative Work and Social Computing, Jersey City, New Jersey.
Skills
Work Experience
Graduate Research Assistant
University of Florida
Gainesville, Florida, US
Research Intern
IBM
(virtual) Yorktown Heights, New York, US
Research Intern
Spotify
(virtual) New York, New York, US
Blockchain Intern
B&D Consulting
Hagerstown, Maryland, US
Research Intern
Boston University, Bioinformatics Department
Boston, Massachusetts, US
Research Intern
Princeton University, Lewis-Sigler Institute for Integrative Genomics
Princeton, New Jersey, US
Research Intern
College of Charleston, Department of Computer Science
Charleston, South Carolina, US
Education
Ph.D. Computer Science
University of Florida
Gainesville, Florida, US
M.S. Computer Science
University of Florida
Gainesville, Florida, US
B.S. Bioinformatics & Computational Biology
University of Maryland, Baltimore County
Baltimore, Maryland, US
B.S. Computer Science
University of Maryland, Baltimore County
Baltimore, Maryland, US
Download My CV
Last Updated: August 2022
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