Brianna Richardson

Computer Scientist

Who am I?

I am currently a PhD student at the University of Florida in Gainesville. My current research interests are a medley of my passions: culture, technology, and ethics.

My current research focuses on ethical Artificial Intelligence, of which I apply to a plethora of applications, including predictive policing, healthcare, and computing education. My dissertation work is focused on normalizing the implementation of ethical AI in the workplace. I have had the opportunity to work at major instiutions, like Spotify, applying my knowledge of ethical AI to their machine learning pipelines.

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.

My technical expertise is also supported by industry experience and personal projects. I have extensive software engineering skills from my time at B&D Consulting, where I worked on a hyperledger technologies. This experience allowed me to develop web and mobile application development skills. Furthermore, my Senior thesis allowed me the opportunity to develop a web application that is currently being used on my alma mater campus.

Check out my blog!

Presentations, Proceedings, & Publications

Richardson, B., Prioleau, D., Alikhademi, K., Gilbert, J. E. (In Press). Public Accountability: Understanding Sentiments towards Artificial Intelligence across Dispositional Identities. Paper accepted to IEEE 2021 International Symposium on Technology and Society.

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).

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.

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. Abstract presented 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. Paper presented at the annual meeting of the ACM Conference on Computer-Supported Cooperative Work and Social Computing, Jersey City, New Jersey.


Programming: Python, Matlab, R, Java, C++
Machine Learning/Data Science: Regression, Support Vector Machines, Decision Trees, Random Forest, Neural Networks, Clustering (Nearest Neighbors, Hierarchical), Dimension Reduction Analysis (PCA, Discriminant Analysis, Factor Analysis)
Version Control: GitHub & Bitbucket
Operating Systems: Windows, Linux, MacOS
Database Management: MySQL, MongoDB, Firebase

Work Experience

June 2018 - Present

Graduate Research Assistant

University of Florida

Gainesville, Florida, US

June 2020 - August 2020

Research Intern


(virtual) New York, New York, US

June 2018 - August 2018

Blockchain Intern

B&D Consulting

Hagerstown, Maryland, US

June 2017 - August 2017

Research Intern

Boston University, Bioinformatics Department

Boston, Massachusetts, US

June 2015 - August 2017

Research Intern

Princeton University, Lewis-Sigler Institute for Integrative Genomics

Princeton, New Jersey, US

May 2016 - August 2016

Research Intern

College of Charleston, Department of Computer Science

Charleston, South Carolina, US


2018 - Present

Ph.D. Computer Science

University of Florida

Gainesville, Florida, US

2018 - 2020

M.S. Computer Science

University of Florida

Gainesville, Florida, US

2014 - 2018

B.S. Bioinformatics & Computational Biology

University of Maryland, Baltimore County

Baltimore, Maryland, US

2014 - 2018

B.S. Computer Science

University of Maryland, Baltimore County

Baltimore, Maryland, US

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Last Updated: April 2021


E301 CSE Building
Gainesville, FL 32611